Category: Webinar

Ultra-long-range sequencing technology expands research opportunities in reproductive genetics and oncology

 

Phase Genomics’ recent release of the RUO cytogenomics platform, CytoTerra™, was accompanied by a webinar which covered an in-depth analysis of current technologies and emerging opportunities in reproductive genetics and oncology.

 

 

“The genome is the blueprint of life,” beginning the webinar, Ivan Liachko describes Phase Genomics’ history of discoveries and contributions to genomic research. Through the development of various genomic, metagenomic, and epigenomic platforms, Phase Genomics has risen as a leader in next generation sequencing (NGS) solutions. Now, the company’s latest platform leverages their ultra-long-range sequencing technology to be used for cytogenomic applications

 

Chromosome rearrangement is a known driver of many diseases, including cancer, infertility, developmental delay, and immunologic complications. Thus, the detection and treatment of these rearrangements is essential in the advancement of modern medicine and therapeutics. However, current methods are limited in scale, throughput, and resolution. Additionally, challenges in sample types and analysis constraints present a cascade of costly tests to run in order to assemble a complete view of the genome. Some of these challenges include culturing dividing cells for cytogenomics, obtaining advanced knowledge of the targeted abnormality for fluorescence in situ hybridization, and working within the limited scope of rearrangements detectable by chromosomal microarray analysis. Further complicating the process of genetic analysis, most cancer biopsies are stored as formalin-fixed paraffin-embedded (FFPE) samples—a wax-like encasing which kills the cells and traps the DNA. Historically, there has been no way to access the DNA to perform NGS testing in these sample types. However, recent cytogenomics platforms created by Phase Genomics do not require a priori knowledge, improve chromosomal abnormality detection, and unlock information in FFPE samples, offering a promising solution to many challenges in the oncology and reproductive genomics spaces. 

 

Phase Genomics’ new cytogenomics platforms, CytoTerra and OncoTerra, are powered by ultra-long-range sequencing—using proximity ligation data and artificial intelligence  to analyze the breadth of chromosome arrangements in a single assay—which eliminates the need for sequential testing, includes a scalable approach to genomic detection, and unlocks information stored in difficult sample types, including FFPE and frozen samples. 

 

Watch the webinar for more information on the expanding possibilities of chromosomal aberration detection and contact Phase Genomics to start a project.



Transcription

 

00:00:01:18 – 00:00:15:08

Speaker 1

Hi, everyone. My name is Ivan Liachko and I’m one of the founders and chief scientist at Phase Genomics. I’m joined today by Jill Tapper, our cytogenetics product manager. Today, we’re going to tell you about our new next generation cytogenomics platform.

 

00:00:15:19 – 00:00:36:23

Speaker 1

This new platform is powered by a unique next generation sequencing technology and has the power to transform how clinicians and researchers approach oncology and reproductive genetics. All right. Let’s get started. So, for those of you who are not familiar with Phase Genomics and what we do, essentially our thing is building genomes.

 

00:00:37:09 – 00:00:54:16

Speaker 1

What we do is we capture unique genomic information to reconstruct genomes and genome structure in order to transform research and clinical applications. We got our start by building cutting edge genomic tools to assemble genomes for non-model organisms.

 

00:00:55:00 – 00:01:13:09

Speaker 1

So, we came out a few years ago with the first chromosome scale non model genome scaffolds as a way of basically putting together an end-to-end chromosome scale genome for anything—for plants, animals, fungi. We’ve also developed tools to haplotype phase a genome of any size.

 

00:01:14:13 – 00:01:37:00

Speaker 1

This is something that at this point is fairly well accepted by the field. We’ve published this over 100 times. It’s even made it into the popular press. And what this sort of technology is based on is a method that has many names, the most descriptive of these is ultra-long-range sequencing.

 

00:01:37:10 – 00:01:52:11

Speaker 1

What it does is it allows us to sequence DNA molecules that are really far, far away from each other. And the way it works is you will take a cell that is intact and within the cell. The genome is condensed into this three-dimensional structure, right?

 

00:01:52:11 – 00:02:11:01

Speaker 1

Remember, a genome is just linear molecules being squished into a ball and they condense into these three-dimensional shapes. The way the technology works is it captures physical junctions between DNA molecules that are close to each other in three-dimensional proximity.

 

00:02:11:02 – 00:02:26:22

Speaker 1

So, in three-dimensional proximity with each other, we can capture these junctions and sequence them. And what that does is it tells us it gives us a way to count how often every part of the genome is close to every other part of the genome.

 

00:02:27:10 – 00:02:47:10

Speaker 1

And so, if you know how often two sequences are physically touching each other, you can figure out how close they are because the sequences that are closer touch more and sequences that are further touch less. And if you know this, if you know this sort of three-dimensional distance between all the sequences in the genome, you can

 

00:02:47:10 – 00:03:08:09

Speaker 1

reconstruct that into a genetic map, right? Sequences that are closer touch more sequences that are further touch less, and that enables you to do to basically use computational tools to reconstruct that information into a karyotype. And so, if you have a genome that you don’t know how it’s supposed to go together, you can use

 

00:03:08:09 – 00:03:23:05

Speaker 1

this information to scaffold it by arranging all the pieces. But if you have a genome like the human genome where you know what it’s supposed to look like, this is a really robust way of detecting rearrangements big chromosome scale karyotype, style rearrangements.

 

00:03:24:18 – 00:03:41:10

Speaker 1

There’s a lot of other things you can do with this technology. I’ll mention them briefly, just for reference. So, the first thing that I’ve mentioned is it allows us if you have this data, you can reconstruct essentially high-resolution genetic map for whichever organism it is you’re working with.

 

00:03:42:07 – 00:03:52:14

Speaker 1

But it also allows us to assemble and phase genomes de novo. So, when you don’t have a sort of a scaffold, a genome with some new organism you’ve never seen before, it allows us to assemble the genome from scratch.

 

00:03:53:10 – 00:04:10:22

Speaker 1

This technology allows us to understand the three-dimensional architecture of the genome. So basically, it allows us to study the 3D structure of a genome, which is a very, sort of very interesting biological property that every genome sort of lives in.

 

00:04:11:13 – 00:04:25:16

Speaker 1

We also have a number of cool tools in the microbiome space. So, this technology I won’t go into this technology has lots of really neat properties that allow us to discover new bacteria, new viruses, new mobile elements.

 

00:04:26:02 – 00:04:44:04

Speaker 1

It allows us to track the movements of mobile elements such as antibiotic resistance genes in infectious disease microbial environments, in addition to building a suite of wet lab molecular tools, which we, we sell all sorts of kits and services in the space.

 

00:04:44:16 – 00:04:58:23

Speaker 1

We also are a very informatically focused company. And so, we develop the tools that are needed to take this unique information type and actually turn it into actionable insights. So, we’ve developed everything so Proximo, our genome scaffolding platform.

 

00:04:59:04 – 00:05:10:12

Speaker 1

We’ve developed tools such as Falcon Phase, which allow us to phase genomes, haplotype-phase genomes. We have a number of tools for doing karyotype instead of genetic type studies, and that’s what we’re going to talk about today.

 

00:05:10:24 – 00:05:31:23

Speaker 1

And then we have a suite of methods that leverages this technology for microbiome discovery. ProxiMeta is for discovering new bacterial genomes, ProxiPhage for discovering new phages and then ProxiLink is for looking at the transmission of antibiotic resistance in complex microbial communities.

 

00:05:33:11 – 00:05:49:12

Speaker 1

And so, the focus of today’s talk is really going to be on one of the properties of this technology. It allows us, you know, we really want to understand the structure of chromosomes, the structure of genomes. This is extremely important in the medical space, right?

 

00:05:49:12 – 00:06:07:18

Speaker 1

There is a whole army of diagnostics that have been designed specifically to look at the structure of chromosomes. But these diagnostics of the day of today, the sort of the most well adapted ones, you know, they’re limited, they’re limited in scale, they’re limited in throughput, they’re limited in their resolution.

 

00:06:08:01 – 00:06:27:07

Speaker 1

And our technology can solve these problems to a large degree. And that’s what we’re going to be displaying today. So, we recently launched a method called CytoTerra It’s a new platform that we’ve developed that enables us to leverage this technology to really benefit folks who are trying to do cytogenomic testing.

 

00:06:27:18 – 00:06:30:19

Speaker 1

And that’s what Jill is going to talk to you next.

 

00:06:32:20 – 00:06:58:09

Speaker 2

Thanks, Ivan. I want to start with some basic background context as to how our platform plays a role in advancing precision medicine focused research and diagnostics. And it’s really built on this fact that we know very well, which is genomic and chromosomal rearrangements are drivers of every aspect of disease, from etiology to prognosis to therapy selection.

 

00:06:59:00 – 00:07:22:03

Speaker 2

And we see proof of this in long standing examples like the 9:22 translocation and CML shown on the left and those patients’ response to a very specific therapy Gleevec. We also see in an example like the spectral cure type tumor on the right, where there are likely many abnormalities as opposed to one specific abnormality contributing to this

 

00:07:22:03 – 00:07:46:16

Speaker 2

tumor’s development. And those are examples in cancer, but we know these rearrangements play an equally important role in many other diseases and conditions like infertility, recurrent pregnancy loss, developmental delay, and those are just a few. So, we have a collection of or genomic methods we use to try and help uncover these genomic disease drivers.

 

00:07:47:01 – 00:08:07:19

Speaker 2

These are karyotyping or chromosome analysis, FISH, and microarray. So, among these current solutions, we have a combination of high and low throughput approaches, high- and low-resolution approaches. But even with this range of resolution and throughput, each solution still has its drawbacks.

 

00:08:08:15 – 00:08:34:00

Speaker 2

For cytogenetics, we need live cells to grow in culture. We also need highly skilled personnel to do the analysis and interpretation of the results. For FISH, we need advanced knowledge or advanced suspicion of the abnormality. With Array, it’s difficult to detect things like balanced rearrangements inversions, low-level mosaicism

 

00:08:35:01 – 00:08:55:05

Speaker 2

So collectively, we’re trying to balance these limitations such that we get as comprehensive of a view as possible with respect to the size and type of abnormalities that may be present. And typically, to get that comprehensive view, it’s necessary to use these methods in a sequential format.

 

00:08:55:13 – 00:09:15:09

Speaker 2

So, when we look at that in terms of workflow and timeline, we end up with a resource intensive, very long, very expensive cascade testing approach. And this is where our Phase Genomics platform has a major impact in that it offers an efficient, streamlined workflow.

 

00:09:15:21 – 00:09:37:19

Speaker 2

And that’s because ultra-long-range sequencing can provide the large structural and copy number variation detection capabilities that we find with cytogenetics, along with the molecular precision of FISH and Array, all in a single assay. So, we’re eliminating the cost and time associated with the current cascade approach.

 

00:09:39:23 – 00:10:01:05

Speaker 2

Ivan touched on the technical aspects of ultra-long-range sequencing earlier on. But at a high level, we’re able to leverage that method’s unique capability to capture the physical proximity of DNA sequences in the genome. We then use our proprietary analytic software to convert the proximity counts to genomic distances.

 

00:10:01:12 – 00:10:31:17

Speaker 2

And as a result, we’re able to detect a wealth of abnormalities like balanced and unbalanced translocations, inversions, insertions, aneuploidy, and a lot more. And these capabilities are part of a comprehensive sample-to-report service workflow, with results ultimately being returned using standard ISCN in sequencing nomenclature and returned in a familiar clinical style report format.

 

00:10:32:16 – 00:10:53:02

Speaker 2

Well beyond the report, we’re creating a valuable data resource for novel variant and biomarker discovery. So, does it really work? Yes. And here is some data from proof of concept work we conducted with an academic health system clinical genetics lab.

 

00:10:53:21 – 00:11:14:07

Speaker 2

And in these 100 plus samples, we see our Phase Genomics platform not just meeting, but exceeding the detection capabilities of the current set of genomic approaches, with some low-level translocations not previously identified being detected. And we’ve had similar success with other sample types.

 

00:11:14:13 – 00:11:31:16

Speaker 2

And you can see a list of some of those here. Everything from whole blood and cheek swabs to POC tissues. But it’s not just compatibility with numerous sample types that makes this platform so flexible. It’s flexibility in sample condition as well.

 

00:11:32:05 – 00:11:50:22

Speaker 2

The platform works with fresh samples, frozen samples and very notably, it works with FFPE samples. And here’s just a small representation of some of the FFPE tissue types we’ve worked with in the past. So why is sample type flexibility compatibility…

 

00:11:51:02 – 00:12:16:14

Speaker 2

Is detection capabilities particularly meaningful to reproductive health in oncology? Well, to start, there are some sample related challenges in these areas. Obtaining fresh sample material for cell culture is difficult in POC samples, for example, this tissue is often non-viable, with very high failure rates for tumor and bone marrow samples.

 

00:12:16:20 – 00:12:36:03

Speaker 2

There’s often a limited amount of sample to work with, and the cells are not necessarily unviable, but they’re disease cells that are often very challenging to work with. Formalin fixation and paraffin embedding are also prevailing collection methods for these sample types, so cell culture is immediately out of the question.

 

00:12:36:20 – 00:13:03:08

Speaker 2

And then there are concerns about obtaining sufficient quantity and quality of the high molecular weight DNA that’s needed for things like Array and many NGS assays. These are also areas where balanced rearrangements play a significant role. There are cryptic translocations or seemingly balanced rearrangements in areas of visual homology that can be causative, so knowing if something is

 

00:13:03:08 – 00:13:31:19

Speaker 2

truly balanced is critical. We also know that gene fusions resulting from balanced rearrangements drive cancer and tumor development. So, in the end, these challenges present as missed opportunities, opportunities to uncover diagnostic and prognostic information, to discover biomarkers for therapy and treatment development, and to make genotype phenotype disease associations to further disease understanding.

 

00:13:33:24 – 00:13:54:10

Speaker 2

So, in comparison to the current cytogenetics methods, our Phase Genomic platform can avoid these and many other missed opportunities by offering genome wide simultaneous detection of the multiple types of genomic rearrangements that cause and characterize disease, and it can do so in a single assay.

 

00:13:59:20 – 00:14:11:04

Speaker 2

The platform has capabilities well beyond what we expect of our current cytogenetics methods. I’m going to hand things back to Ivan so he can talk about what some of those expanded possibilities are.

 

00:14:14:18 – 00:14:29:20

Speaker 1

Thank you, Jill. So, as you have just seen, this platform is very useful in the field of cytogenetics. But there’s more there’s a lot of things you can do with it beyond just sort of an improved way of conventional testing.

 

00:14:30:14 – 00:14:57:20

Speaker 1

one of the main challenges in oncology is that while you know there are obviously so many different cancer types, only a small subset of available cancer samples get processed, cytogenomically and get analyzed by cytogenomic assays. And the reason is that the vast majority of cancer biopsies in cancer samples are stored as FFPEs.

 

00:14:58:03 – 00:15:20:07

Speaker 1

They’re stored in formalin fixed paraffin embedded format. And what that does is that kills all the cells and also ruins the DNA for long read sequencing for optical genome mapping. And so, it makes most karyotypic assays and large-scale structural analysis virtually impossible.

 

00:15:20:21 – 00:15:31:04

Speaker 1

And this is one of the things that our technology can overcome. So first, let’s take a look at what this data looks like we’ve been talking a lot about. So, the technology and what it can do? But here’s what.

 

00:15:31:16 – 00:15:54:05

Speaker 1

At its core, here’s what the data looks like. When you plot this type of ultra-long-range sequencing information, you can you generate these sorts of maps these heatmaps. Imagine if you’re not familiar with this, imagine a just a matrix where an x axis and the y axis you just lay out the chromosomes like left to right

 

00:15:54:19 – 00:16:18:03

Speaker 1

and you’re seeing this coordinate system. This is chromosome, you know, 1, 2, 3, 4, 5 and chromosomes along this line. And these boxes are showing you how much interaction there is within that combination of coordinates. So, this heat inside of this box tells you that there’s a lot of interaction between chromosome two and chromosome two other parts of

 

00:16:18:03 – 00:16:33:07

Speaker 1

the same chromosome. They’re touching each other because they’re close. But there’s not a lot, for instance, between chromosome two and chromosome four. Right? But then if you look at a cancer sample like this one, you will see that there is this hotspot in this box.

 

00:16:33:07 – 00:16:48:05

Speaker 1

And what that means is that this area of chromosome two and this area of chromosome four are touching each other way more than they’re supposed to. They’re closer together. So, this was caused by a translocation and there are different types of these events.

 

00:16:48:06 – 00:17:07:20

Speaker 1

Sometimes they look like squares, sometimes they look like bow ties, et cetera. We have essentially trained the analytics, right, we’ve built this A.I. that recognizes these things, and that’s how we can generate these. These karyotypic reports, karyotype maps, but we can do this in FFPEs.

 

00:17:07:24 – 00:17:26:18

Speaker 1

And the reason why we can do this in the FFPE is because the first step of our method involves fixation with format with formaldehyde or formalin, which is what the f is in FFP. And so, we’re able to not only generate these kinds of cytogenetic profiles on fresh frozen tissues and cells and these sorts of things

 

00:17:26:23 – 00:17:44:22

Speaker 1

, but also, FFPE slices and even a single FFPE slice can generate a really cool complex karyotype. So, this is an example from one of our collaborators. This is a solid cancer. FFPE slice from a solid cancer is just a slice.

 

00:17:44:22 – 00:17:59:23

Speaker 1

You don’t need to consume the entire FFPE block. Everything works with sort of how people are used to looking at it, and you can see again, in this case, the data is shown in a different color. It’s now orange instead of blue, like in the previous slide.

 

00:18:00:09 – 00:18:20:21

Speaker 1

But basically, again, these boxes are the chromosomes and these little shapes. These events out here that are marked by black arrows represent the structural chromosomal aberrations within this FFPE slice. And so, you know, there’s there are these little bow ties and squares like before, and you can sort of divide them.

 

00:18:21:13 – 00:18:30:15

Speaker 1

Here’s what they look like when you when you zoom in. If you were to kind of visually analyze it, this is what they would look like. Of course, we use software, but you can actually look at them and see them with your eyes.

 

00:18:31:19 – 00:18:46:23

Speaker 1

And so, this is what a balanced translocation looks like an unbalanced an inversion because this technology is sequencing based, Illumina sequencing based. It allows you to do all the other things that you do with Illumina so you can detect deletions and copy number changes.

 

00:18:46:23 – 00:19:10:18

Speaker 1

You can detect amplifications; you can detect aneuploidy and other similar things. And so, you can generate these really complex karyotypes right off of FFPE without sort of, you know, in the very in a very manageable way. And so, what we’re going to show you in this video here is a comparison of a data set from a fresh

 

00:19:10:18 – 00:19:28:11

Speaker 1

frozen lung cancer sample and an FFPE matched sample from the same biopsy. And so, what you’re looking at again is just like before the boxes in the middle of the chromosomes and the events out in sort of in this yellow space.

 

00:19:28:16 – 00:19:43:15

Speaker 1

These are your translocations and other karyotype aberrations. So, we’re going to zoom in. This is being visualized in a tool called high glass. And so, what we’re doing is we’re sort of zooming in in sync with a fresh frozen in an FFPE sample.

 

00:19:44:03 – 00:20:06:07

Speaker 1

And when I hope you can see is that we’re able to even in a FFPE sample, detect really, really sort of crisp, large scale structural rearrangements. And this is going to zoom in on its kind of just so you can see the sort of the beginnings and the ends of these things, and we can then map

 

00:20:06:07 – 00:20:17:01

Speaker 1

them to, of course, their genomic coordinates and what you’re looking at here is this is the entire genome. And so, you can see there’s lots of things happening here. There’s some of them are small, some of them are big.

 

00:20:17:11 – 00:20:39:20

Speaker 1

So, this allows you. This method allows you to reconstruct high quality karyotype maps specifically for FFPE samples, as well as for any kind of fresh frozen sample. And finally, what I’m going to end with is this technology because it is based on Illumina sequencing.

 

00:20:40:01 – 00:20:55:14

Speaker 1

It is compatible with target capture methods. So, if you are looking for if you’re looking for specific snips, if you’re looking for mutations, if you’re looking for a loss of heterozygosity in specific regions, you can actually pair the two methods.

 

00:20:55:20 – 00:21:15:17

Speaker 1

You can use pretty much any capture panel out there. They all work extremely well with this technology, and that allows you to do simultaneous snip profiling looking for specific mutations in specific genes while also generating a structural map of karyotype for your given sample.

 

00:21:15:17 – 00:21:39:02

Speaker 1

Be it fresh frozen, be at cells, be it FFPE directly out of one sample, so you can combine a target capture panel and a cytogenetic work, up from the same sample with this technology. So just to summarize and finish off this talk, what we’ve shown you is that applying ultra-long-range sequencing to various biological samples

 

00:21:39:09 – 00:22:00:14

Speaker 1

is basically a really useful way of enhancing your cytogenomics game. It’s a scalable platform for cytogenomics. It’s simple. It can be performed in your lab. You don’t need a special machine for this. Aside from Illumina sequencers, which can which are sort of, you know, pretty common these days, we provide both services kits as

 

00:22:00:14 – 00:22:20:07

Speaker 1

well as companion cloud-based analytics, so you don’t have to sort of figure out your own computational pipeline. We integrate both the analytics as well as the molecular methods. It works on all sorts of difficult sample types. It works, and if it works on cheek swabs, it works on all sorts of samples that are usually very difficult

 

00:22:20:10 – 00:22:36:07

Speaker 1

to process by traditional cytogenetic methods. As I mentioned, you don’t need to make sort of buy a special machine for this. You don’t need high molecular weight DNA, so it’s a much easier way of generating large scale cytogenomic data.

 

00:22:37:08 – 00:22:52:16

Speaker 1

If this is something that you’re interested in, please let us know. And the reason why we’re giving this webinar is to announce sort of our early access program. And so, we are recruiting folks to do all sorts of cool research with us.

 

00:22:53:00 – 00:22:58:19

Speaker 1

So, this is of interest, please. You can scan that barcode. You can go visit us on the website and shoot us an email.

 

Inside the Microbiome Startup Industry

 

The microbiome is a very special opportunity because it allows you to create products that potentially have the efficacy of a drug, but the safety of a probiotic
-Colleen Cutcliffe, PhD

 

The Fall 2021 Genome Startup Day event, Inside the Microbiome, took a deep dive into the origins of several microbiome startups. Starting with a fireside chat, Ivan Liachko, PhD, cofounder and CEO of Phase Genomics, and Dr. Christopher Mason, Professor at Weill Cornell Medicine and cofounder of several startups, discussed Mason’s passion and recent projects relating to the microbiome. From children licking their way around their environment to sending fecal samples into space, Mason described his journey into the emerging field of the microbiome. He continued onto some of the early challenges in transitioning from academia to industry and shared his advice to any graduate students attempting to do the same. Mason also noted the improvements being made in this field, making it easier for startups to collaborate and progress.

 

“It’s become much more of a startup-friendly, entrepreneurial ecosystem in most academic centers”
-Christopher Mason, PhD

 

Next, Dr. Kirsten Sanford, host of This Week in Science, led the panelist discussion. Colleen Cutcliffe, PhD, cofounder and CEO of Pendulum Therapeutics, described her motivation to begin a microbiome company. She began with an anecdote about her daughter overcoming illness and inspiring her shift in focus from publishing papers to creating health solutions. Momchilo Vuyisich, PhD, cofounder and CSO at Viome Inc., shared similar experiences he had aiding people to improve their health in miraculous circumstances. Coming from a different field of study, Nick Greenfield, Head of Microbiome at Invitae, described his experience breaking into the industry and how he founded his initial startup, One Codex.

 

View the event recording below for the full conversation and more insights into the world of microbiome startups.



Stay up to date with Genome Startup Day on Twitter and watch previous events on the Genome Startup Day website.



Transcription

Ok. Welcome, everybody. We’re going to get started here for today. Sorry, I had to close my other tab. So good afternoon, everyone. My name is Kayla Young, and I am the chief operating officer at Phase Genomics. Thank you for being here.

Our next Genome Startup Day event. So, for those of you that are new to our events, Genome Startup Day, it’s designed to be a community building catalyst for genomics startups, founders, investors, service providers, media, and jobseekers. So please stay connected with us via Twitter.

@GenomeStartup I also put that in the messages and keep up to date for future events so quickly for kind of some run of show things and housekeeping. We will do question and answer at the end of both the fireside as well as the panel.

So please put those questions into the chat box on the right side of your screen. Additionally, for every question asked will be entered into win Phase Genomics socks, so we will announce those winners throughout the sessions. But I will follow up after to coordinate that.

So, ask those questions and join the conversation. And then finally, last but not least, I would like to extend a very big thank you to all our sponsors that make this happen primarily s2s PR, which helps put on these events for us, but also Agilent, Illumina, Pacific Biosciences, Alexandria LaunchLabs and CoMotion without this sponsorship.

This would not be possible. So, with all of that behind us, I would like to introduce our fireside chatters and my boss, Ivan Liachko, CEO and co-founder of Phase Genomics, who will be talking with Dr Chris Mason. So, Ivan over to you.

Hello, everyone, thank you for coming. Thanks, Kayla, for the intro. As you can see by my fancy attire that we’re having a fireside chat and I’m very lucky today to have with me Chris Mason, who many of you are familiar with.

Chris Computers Chris is an Associate Professor of genomics, physiology and biophysics at the Weill Cornell Medicine and director of World Quant Initiative for Quantitative Prediction, as well as an affiliate of Memorial Sloan-Kettering Cancer Center. Rockefeller, Harvard Med School, Yale Law School.

And there’s like three more pages of this stuff. If you’re not familiar with Chris, Chris is super engaging speaker. I’ve seen him talk many times at different conferences. He addresses really cool topics, most notably his interaction with Nassau and Nassau, not Nassau, NASA and the others, the space poop work he’s done with Kelley twins and

others. And of course, recently a lot of microbiomes of sort of cities and built environments. He can see, I’m just trying to read something. He’s got like 1,000,000 awards. He has been on like ABC, NBC, CBS, Fox, CNN, PBS, Nat Geo.

He’s also one of the reasons why I like to have. I like to, you know, I wanted to have Chris on here is because the purpose of this event is really it’s a startup event, but it’s a little bit different because the goal was not so much to educate people about, like how to raise money and how

to do startup mechanics. But really about that transition for scientists, that has to happen at some point between academia and industry. Like at some point we as geneticists have to come out of our earlier kind of academic shell and decide to spin out companies.

And there are so many challenges. And this event was really about talking about it, not about so much educating you, how to do it and filling out the forms and IP and all that stuff. But really like, what’s it like?

And what’s cool about Chris is that he’s a super accomplished faculty. He’s doing tons of science. He’s in the news all the time, but he’s also very involved in the commercialization of technology is associated with lots of startups, and that’s why I really wanted to bring him in here.

A lot of times what we do is we have founders who a lot of times they’re like juniors and we get their perspective, but of course, they interact their faculty all the time. And so, I want to know what it’s like from a faculty perspective and faculty, as Chris, as you know, range all over the place from

being super startups and commercialization to being straight up hostile to it. And like, you know, and so we want to just talk about it and like, get your opinions. And obviously, if you were super hostile, I wouldn’t have.

Right, right?

So, I’m assuming you’re pro. So, so yeah. So, let’s first off, this episode is about the microbiome. You know, why is it about the microbiome? The microbiome is cool. I work with the microbiome, and I organized the show.

So why do you do so much microbiome work? What’s like? What’s your favorite thing about it? Like what? What draws you to that particular topic?

Yeah, the number of things, actually. And can you hear and see me? Okay, sounds amazing. OK, great. So, a few things. The real inspiration came from two events that happened around the same time as that one. I just became a father and saw a lot of microbial interactions from a new lens, which is just, you know, infants

crawling on the floor, licking things, putting everything in their mouth. I actually talked to our daycare when we first dropped her off and said we should do an experiment. There’s a lot happening here in terms of microbial transfer.

And of course, then I realize I immediately was that creepy, weird scientist. That’s like, why is he planning experiments on our children so we didn’t do that because that would have been a little weird, but the thought never left my head.

The other thing that was happening at the same time is we started doing a lot of whole genome sequencing clinically in 2011 2012, and there are always fragments of DNA, even if you know, especially you get from a skin sample.

But even sometimes blood samples that didn’t match up to the human genome part of it because the human genome is incomplete. But also, you will have microbial sometimes contaminants that are there, but sometimes actually mediating biology. And they’ve recently been found inside of tumors.

They’ve been found, of course, in gut samples and skin samples, but even circulating in blood. We now have a company you one of my companies, Biotia is working on ways to sequence microbes from anywhere, including CSF or from things that normally have blood that you wouldn’t think would have that much unless you’re really sick.

There’s actually trace signal that’s there every time you sequence a sample, that’s you human microbial really in any kingdom of life. So, as I became more and more of a clinical geneticist in practice and also in startups, I just began to realize you have to be really kingdom agnostic to do the best possible science.

So even if you’re a computer empirically, wonderfully, trained human geneticist, if you only look at the human genome as a geneticist, you’re actually really crappy human geneticist because you’re missing a lot of biology. So, to understand health, wellness, disease trajectories of any of them, you have to look at it from a kingdom agnostic or kingdom inclusive view

across all domains of life.

Yeah, no, it’s really, it’s really cool. Like the thing that drew me to it, honestly, was that just the fact that if you think about like, you know, if you think about diminishing returns of discovery, right? Like we’ve done a lot of work on cancer, we’ve got a lot of work on human biology.

But like if I see sequence, if I scoop a little thing of soil right outside my like, it’s all new. Like, it’s like an unknown and it’s not like we invented it. It’s always been right. Like, we just.

Now.

Everything we do, we just have not had the tools to really to really measure it. Yeah. What about like the flashy projects? So, like, what was your favorite thing about the space poop? And like, how long did it take to like, get into that whole thing and become like, then that’s like, are you?

I’m assuming the next stage is going to be terraforming Mars with just sending them like poop and dumping it on there. Yeah.

Matt Damon. Yeah. I mean, it’ll take a while, but it actually did just publish a book called The Next 500 Years, which is a five-year plan to actually get people on to Mars and other planets, which involves a lot of microbial engineering, potentially even human genome modification or engineering to make it feasible.

So, I think there is a lot that we can do that we’ve just learned the tools do some of the genetic manipulation. Most obvious is CRISPR or some of the new Amiga systems that can do gene editing, but also just the catalog of genetic what’s in our DNA toolbox of just functional elements from all microbes.

Other species that we can use and deploy is getting bigger every day. And that’s kind of it’s really exciting as we are. We’re still in in this discovery phase, but it’s ramping at a super exponential pace. So, we can really sort of imagine doing this for, you know, anything from as simple as microbial monitoring on the space

station, which we’ve been doing for a few years. And most recently, I know Jack Gilbert, Robin, I’ve done some sampling up there as well. So, like more and more teams are thinking like, well, what can we learn from the microbes in space when we bring them back down and sequence them or even sequencing in space, which we

published a few years ago? They’re actually different. They evolve quite quickly. It’s a unique selective environment, which, you know, it’s not too surprising when you think about it. But you know, everywhere we look, including the space station, there’s new things to discover.

And I think a lot of the space projects are my favorite because I consider it my life’s work to try and get that goal.

But we’re like, I got hit by a bus tomorrow. At least I would have sequenced poop in space.

That’s right. That’s right. At least I got that. Check that off my list.

And yeah, the first time we sequenced the platypus, that’s what I said to myself. If I die today, I can say we sequenced a platypus one.

Funny you mentioned there is a bus rule in the labs that if you get hit by a bus, the work has to continue to document that. We’re very careful with the lab notebooks. We call it the bus rule in lab.

Which is that’s a that’s a that’s a good one. Yes, testing it might be a little hard, but what do you think will be the next thing? The next? What’s the next big thing in the space?

We just finished the inspiration for mission, and now we’re planning some other missions with Axiom. I going to have its own private space station by 2024. So, I think I think the next big thing is this commercial space sector, which is kind of a new space race.

So, we work with the medical ops team at Space X a lot over the past nine months to set up the first aerospace biobank and set up some of the very first protocols for sampling for private astronauts. What’s kind of amazing now is it’s going to be like Axiom is just space station.

So, if you want to do anything up there, as long as you can afford it, you can fly it up there and do whatever you want. So, it’s in the ranges of tens of millions of dollars, or sometimes hundreds of millions of dollars, depending on how long you want to go up there.

But you know, if you can afford it, you can go do whatever you want up there. So, we’re working. Yeah, we’re working on a bunch of interesting missions where one person wants to go for 500 days and stay in space for the longest time ever to simulate a trip to Mars and back.

Basically, other people want to do manufacturing in space. A lot of people want to do, you know, microbial engineering, even in space or organoid work that’s already happening. So, I think there’s a lot in the space sector is opening up a lot and it really was hard to get up there and difficult before.

But now it’s going to be it’s going to be pretty routine, which is pretty cool. So, if they have any experimental thing to do, it’s possible.

The space. All right, let’s talk about startups. So, as I mentioned, you are super active and super successful. You have a lab. You know, how and why did you get involved with startups?

I got my first startup failed, which is important now. I think a lot of people feel like it was one called Genome Liberty, which is right after the AMP versus myriad decision in 2013. We thought, OK, now genes are no longer patented.

We should make it so anyone can sequence any gene they want. I want to like a run down the streets of Manhattan and say, you get a genome, you get a genome, you everyone get the genome like Oprah.

But I was just so. Saying it because it had really democratized access to people’s own genetic information, and so we started a company that was the beginning of kind of a direct-to-consumer genetic testing company like 23 and me but more focused on actionable genes like pharmacogenomics and cancer genes, which ended up this idea ended

up being something like what color genomics is doing other companies. But at the time, the FDA was really clamping down on DTC genetics companies. And so, we and they even been sending letters to 23 and me. So, I thought at that time with a newborn child and a fairly young professor, do I spend a lot of time

and regulatory back and forth with the FDA, with the company that has very little funding? We did a crowdfunding campaign to get it off the ground and got some money, but at the end it was just some point to do a startup.

You need more than one or two people who are doing it part time to really get off the ground and what’s often called fire in the belly. And some of that’s like, I’m going to leave my job and have this be my job.

You don’t want to get to faculty doing it like 5% of the time. It’s never going to take off, right? So. So but the concept of it I really like is that there are ways where you can’t do it at an academic lab.

And academic labs are great for many things, for a lot of the pure discovery, pure development of new protocols, but to scale them or to get them out to the mat, a large number really have to do in a company setting.

You have to really, you know, like you can’t do, you can’t work with 1,000,000,000 people or get things a vaccine, for example, to 1,000,000,000 people from a small academic lab or even a big academic. That right, it’s just not it’s not worth for.

And so, I really start to think more about how do I really launch some of the things we’re tinkering with in lab and get them into a commercial setting? And that’s actually what led to Biotia was getting all the metagenomics work we were doing.

How do we make it so we can use this as a diagnostic and really get it to market? So, I think it’s a classic pinpoint let it pay pain point. And at what point can we go from a cool concept in the lab?

It’s working. We know it has capacity to change how we treat a certain disease or do diagnostics, but you have to at some point either set up as an LDT in your own CLIA lab or actually start a lab if you really want to go in that direction.

So yes, we’re going to get it be. It’s basically if you look around the world and the thing that you want doesn’t exist at some point you just have to either buy it or build it, and it didn’t exist, so we wanted to build it.

That’s awesome. And I think. There are two points that you made that I think are super important for our audience. one is that Chris Mason had a startup that failed. one of the things that startup founders and just startup people in general deal with all the time is this bias of like, you only hear about the successes

, but actually, failure is super common. And so, anyone who gets anywhere near what doesn’t seem like success starts having all these anxiety issues right? And so, I wanted to highlight that like, you know, like, it’s normal. These are every startup is an experiment, right?

And you don’t know what’s going to happen and you think, you know, you think you’re going to nail it out of the park, but you don’t really know, ever. And so just highlighting it for people in the audience maybe who are considering or thinking about it, like it’s normal, it happens and as part of the ecosystem.

And then the other thing that you mentioned that was interesting to me is this prime mover idea is that like you like you need; you need people who are going to go all in at some point.

I also when I started phase, like I kept one toe in academia for a long time. Eventually, I had to jump. And you know, and the faculty are generally the ones who do the jumping because you guys have good, solid jobs and you’re right.

Because you’re tenured faculty like, well, why would I give up this literally like guaranteed lifetime job? And so, it’s got to be. And also, I have to look for people who left my lab and go to start companies.

I also it’s going to be a good opportunity to look at an actual capitalized company where they’re going to do a real job, not, oh, I think we’ve got some money will go look for more money later. You really have to make sure you launch with a full, full tank when you hit the road.

So, so let’s talk about that a little bit, because I guess I mentioned sort of the relationship between faculty and students who go into industry can be touchy sometimes and sometimes people, they want to, you know, sometimes they want to start a startup, but sometimes they just want to go work for a company like, you know, work

for Agilent or Illumina or something. And how do you like, how do you what sort of. Interaction, do you have how do you relate to students who are doing that kind of stuff? Like what do you do to encourage and discourage them?

You know that kind of stuff.

I think mostly they do. I mean, the interactions depend a lot on the person, of course, it’s a little everyone’s a little unique snowflake in a way, but the one thing I do is I discourage people, feel like a first-year grad student and think, oh, I’ve heard about startups, I want to make my own company.

I think, well, you know, give it a I mean, you can’t like you could be the next Steve Jobs or Bill Gates, but the odds are that you’re not like, you know, you may not need to finish college or grad school and just jump right in, you know, maybe, but you got to play the odds a little

bit. And then also, you can still do some of the tinkering and development and IP development at. I mean, I think most people I encourage them say like file patents when you’re a grad student or postdoc. The university loves it and then you can license that IP to start.

A company in the UK have a good foundation for the company rather than. I have an idea and I need $10 million to get off the ground. If you actually have IP, investors will like that a lot more. Not surprisingly, and so will your customers because of something that they’re using, that’s unique.

So, I think the I encourage them to file patents encouragement to not do their first year of grad school, but that they should, you know, when you’re getting towards the middle years to start to think about if they really want to go that direction.

So, try to be as encouraging as I can. And you know, I actually wish people had told me, hey, if you have an idea, go meet with the tech transfer people out of university because they can help you file patents when you get out to the private market.

Filing patents is bloody expensive right after it’s 20 to $50,000 per patent prosecution. Depending on how complex it is. The university does that for you, of course. Then you have to pay them later to license it.

But at that point, somebody else was paying for it. So that’s another really, really good point. You know, when you’re and maybe this is helpful to someone in the audience. But if you don’t know if you’re a grad student or postdoc, and you invent something the university owns that invention or what that means, is that they

will be the ones paying for patenting it if you convince them that it’s worth it. And so, yeah, it’s hard to imagine a scenario where it’s you shouldn’t patent.

Even for it is like, I don’t know if my idea is that good, but just go pick up the phone and call the patent attorneys who look at this, and you’d be surprised how often things are really straightforward can lead to a patent.

Yes, because no one’s gone for them.

Yeah. And if nothing else, you learn a lot of stuff. Like the other thing about startups is that like when you go through the process, you just like the first six months is like the most learning intensive process period of your life.

Like you’re learning things that you’ve never heard about before or maybe you’ve heard of. Have no idea what they are, you know, and patents is one of those things, at least, you know, it’s something you should be aware of.

It’s part of our ecosystem. What do you think like, what have you seen in terms of the general ecosystem, like for other labs? Like what have you seen in terms of kind of how folks, you know, you know, New York is very high tech, obviously.

Like, what do you how do you see the shift happening like that, like you told your own story about sort of startups and interacting with students? What about everybody else? Like, are more faculty becoming into it? Or like, what?

What do you see?

Yeah, it really is. It’s become much more of a of a sort of startup friendly, entrepreneurial friendly ecosystem in most academic centers that I’ve seen, especially in the past five or six years. You know, there’s even a dean who’s just about biopharma collaboration and entrepreneurship at Cornell, at the med school.

There’s also one at Cornell up in Ithaca. So, there are, you know, now dean level appointments of people who think we should just encourage this, encourage Google to come up with ideas. Also, the NSF and the NIH and DARPA all help support startup companies.

So, NASA even has something like an SBAR fund, which is a small business innovation or research award, but it’s a NASA version, so almost every federal agency really applauds and encourages people in academic sites to come up with an idea, get it capitalized, get it off to market, and we’ll give you grants for it, non-dilutive capital

coming from the government to help get your company going. So, I think that’s always been there. But I think in the past few years, you know, 15, 20 years ago, there was much more of a, you know, academia over here in pharma and industry over there, and they shouldn’t, you know, engage with each other.

But I think we’ve just realized there’s a lot more to be done that can be done faster if you do it together. So, I think there’s a lot more collaboration coordination between academic medical centers and industry and pharma and startups.

And it’s gotten it’s encouraged. You know, people, you know, encourage entrepreneurship in a way that I’ve not seen. I feel that wasn’t really the case seven or eight years ago in New York, in particular, is now a multiple incubator startup hub.

There’s Harlem, Biospace Spaces, Alexandria Labs, there’s cure building that just launches. You know, all these spaces, the bio that’s now the one where there’s a lab space. You can get a startup, get some space, get going and have a startup company.

Yeah. So let me do let me do a couple of questions from the audience. So, I have one. So, following up on the patent question, if the university owns a patent, then how do you build a business on that?

So, I mean, there’s a technical answer, which is you start a company and then you get a license from the university. But sort of. You know, follow up on that, like, what do you guys, how much work and maybe how much resistance have you seen, like if somebody’s getting something via Cornell and then they want to

go find the company? How difficult is it to get a license? That process can also be touchy sometimes between.

Yeah, see this question. And it does depend on the university. Generally, they will. They actually are much happier, more happy to file a patent for someone if they know that you either have an I.D. to make a company or that you’ve already got a partner with the company who’s interested in your invention.

So, I think they encourage that. But then you do have to license it and the university could. It’s like any negotiation for any piece of property, like buying a house or a piece of land. The negotiation could break down.

They can give you a bad deal, or you could be entrenched into the university, and they don’t have to. You know, it’s like any property. They don’t have to give it to you. They could give it to someone.

They could have an exclusive right over here and then no one else can have it. But normally, universities like to have multiple licenses because it gives them more money. At the end of the day, the more money that comes in, the more they can do with other investigators and other patents.

So, it always just depends on what you want to negotiate for. You know, at a certain number of revenue that some things kick in or a certain volume of sales that you can, everything’s negotiable. But the university that is the caveat is that if they own it, they own it, and you have to negotiate with them

. one distinction is Cornell Tech is where the tech school is. It’s and also just in New York City. On Roosevelt Island, they allow fully transferable IP, even though they’ll file it for you. Like, for example, Biotia. We can take a look at it.

We found when we spun the lab out of Cornell Tech, and it’s allowing a fully transferable IP to the company to then be selected. The company got sold and exit, which is very unusual, but it’s very progressive for Cornell Tech to do this to allow you to bring that fully bring IP, not just the license, but actually

take it with you. So that’s the only place I’ve seen that done before. So. But it is possible to do.

That’s cool. And how much? So, the question sort of sort of how much development is needed to get into this market, like, is a patent enough? Do you need a patent to go in? Like is it required? It’s not a question I get sometimes is how much IP protection do you need?

This trade secret.

Off.

Where it’s as various kinds of IP, there’s patents which most people know about, but there’s also just trade secrets. It’s up as a form of intellectual property. It’s obviously less clear what it is when you have a trade secret.

But Coca-Cola has a trade secret like no one actually knows the coke form, except for a few people that originally were sniffing cocaine. But now they just have a lot of sugar water. But you know, it was originally cocaine.

in Coca-Cola. So, there’s ways you can have a, you know, something that’s widely used, but no one knows exactly you have. And you know that that is a form of IP.

And one of the reasons I kind of asked that is because a lot of people don’t realize you don’t have to have a patent to start a company. You can start a company doing PCR for people like you can start a company selling pencils you can say you don’t need, you know, like there’s a lot of things

you buy from companies with Qiagen and like a lot of them, don’t have IP on them. And so, you don’t actually think about it as just like all patents. But it’s really about invention and developing technology and moving the space forward.

OK, let me get one more. OK? This is a good that’s actually will be we’re running off a time. This would be a good closer. How do you educate the public on this space? Like, you know, yeah, microbiome space is full of sort of fact and fiction mixed together, and it’s super tempting to get caught away, caught

in like the just the hype of the microbiome and overselling the microbiome. You know this ball and how do you keep it, keep it grounded in reality, but at the same time, interesting.

I do. Yeah. And you know, I myself, I think everyone, it’s easy to get excited because there’s so much you can discover so quickly for the microbiome and research and clinical approaches. But it’s like any bit of science.

It’s anchored on reproducibility and independent validation of whatever you think you’re seeing. So, you know, the placental microbiome is a great example of what people think. They see some things, but if it’s not replicating how sure that it’s real.

And I think you have to temper your enthusiasm with really good controls, positive negative controls like any experiment and independent validation of it. So, I think, you know, it’s not like you need any magic. It’s the same principles of good science in any field is just replication and independent confirmation.

You know, intra and inter lab validation and that lets you know that it’s real. And so, I think, I guess and using multiple methods to assay whatever your question is, which is also important for way to confirm what you think you’re seeing.

But we’ve published a lot of paper showing that depending on what tool you use, you get very different results for metagenomics processing or how you clean up the sample. How you fragment the sample is well known biases at every stage of collection, analysis, processing and interpretation.

So, you just do it many ways and make sure you keep getting the same answer.

Is there any? Just to close out? Is there anything that you want to tell? The audience like about the space and about startups and whatnot. You know, I can’t see who’s this, but it’s all like. So, is there anything you want to tell people a piece of advice?

Some sage wisdom?

I would say, you know, be pretty, you know, definitely file as many patents you can if you’re in grad school already said that, but I’d say be pretty fearless because you might think, oh, someone else must know the answer to this, but a lot of times no one knows the answer.

So, I would say be a little bit fearless and jump right in because there’s still so much that we don’t know, especially in the microbiome space, that you should jump in, and you can start a company with not with just an idea and a little bit of cash.

And many people did that during COVID. They just sold PCR tests that were already on the market and now they have a ton of money. So, you don’t need, you know, IP or that’s unique for a company that does help long term.

But you know, but the world needs a lot more people innovating on these ideas that bring things to market whenever you can.

Awesome. Yeah, definitely. Startup is very courage dependent and whatnot. So, thank you for coming, Chris. You will also be as a recipient of one of these amazing DNA socks.

They are fabulous. They’re very.

Good. The real prize. And I’m going to give one away right now to somebody in the audience. And that person is that person is Elizabeth Stewart. So, get in touch with Kayla afterwards. Chris, thanks again. We’re now going to go to our panel, and it’s been it’s going to be moderated by Dr. Kiki Sanford from

This Week in Science. And stay tuned and reach out to us if you have any questions and I’m going to give away more stocks at the end.

Thanks. Thanks, Chris.

Thank you. Thanks, Chris.

Next up, we are going to move along to our panel. So, I want to introduce our panel moderator, Dr. Kiki Sanford. Kiki is the vice president of public relations at Science Talk. She is the owner of Broader Impact Productions, and she is the host of the This Week in Science podcast, which I highly recommend and will

link in the messages. So, she’s going to introduce our panelists, and there will be another question-and-answer session at the end. So let me add them. OK, over to you, Kiki.

Thanks, Kayla. Oh, I just want to say thank you to Ivan and Phase Genomics and s2s PR for inviting me to be a moderator for this session. I am excited to be able to talk with all of these CEOs, founders, amazing scientists interested in exploring, launching and growing a startup in the human microbiome space for all

of us today. So, we are joined today by three founders who I will introduce right now. Colleen Cutcliffe is the CEO and co-founder of Pendulum Therapeutics. This is a company developing microbiome targeted medical probiotics. Nick Greenfield is head of microbiome at Invitae, the medical genetic testing company that acquired the company.

Nick founded the microbial genomics and bioinformatics platform one Codex. And finally, but. Not least at all, just the last on the list, Momo Vuyisich, which is the founder and chief science officer for Viome which describes itself as the world’s first and only at home m RNA test for precision nutrition, scanning gene expression to provide health and

nutrition insights. Each of these founders has a fascinating background and has taken different paths to getting where they are today, and hopefully we will be able to dig into what they’ve done, how they got there. And welcome to all of you for joining us today for this conversation and this panel.

first, I want to ask, Colleen, can you give us a little background, what was it that pushed you from what you were doing, a Ph.D. in biochemistry, having moved on to a postdoc and then into research in industry?

What pushed you into starting and founding your own company?

Well, thanks for having me on the panel discussions. Super excited to get to be alongside Momo and Nick. I haven’t seen anybody in years, but good to see you guys, at least on the screen. So, for me, when we decided to start this company, I was working at a DNA sequencing instrument company that had gone public, and

there was just a kind of fundamental new science around the microbiome that was in academia at that time. And it felt like the moment was right to be able to translate all that great academic work into products and at the heart of being able to identify novel products in the microbiome was DNA sequencing technologies and the ability

to analyze them. And of course, that was eight or nine years ago. We’ve come a long way since then and all the additional tools and technologies around understanding the microbiome. But at that time, it felt like me and my two co-founders had a leg up on really understanding how to use DNA sequencing.

And then at a personal level, as I started learning more about the microbiome, I realized that my older daughter had potentially some microbiome deficiencies of her own. So, she was born almost two months premature. And when you have a baby born that early, you get to see them for a couple of seconds, and they get taken away

from you to intensive care, which is where she spent the first month of her life hooked up to all these machines and monitors and receiving multiple doses of antibiotics. Not because she had an infection, but because that’s prophylactic.

They’re so fragile, they want to make sure they don’t get an infection. And around the time that we were starting this company, this publication came out that where they studied 12,000 children and saw that infants who had been systematically exposed to antibiotics below six months of age were also systematically more prone to obesity and diabetes as they

got older. And the Mayo Clinic recently repeated this where they showed that kids who are under two years old and have been systematically exposed to antibiotics were more prone to diseases later in life. Not just obesity and diabetes, but also things like celiac disease, ADHD.

And so, my own daughter was experiencing metabolism issues, and she was in elementary school at that time. And so, for me, I realized we had this technological advantage. We could create products that could help millions of people, including my own daughter.

And the microbiome is a very special opportunity because it allows you to create products that have potentially the efficacy of a drug, but the safety of a probiotic. And that’s really the promise of the microbiome. We’re all trying to realize.

That personal angle, too. There are so many of us who are wondering, you know, how we can, how we can use our personal ecosystem to our benefit and Momo. You also have taken a path from academia to research working at Los Alamos National Labs and into this startup industry.

Can you talk about what led you to make the jump?

I was really driven. I developed some kind of an early onset arthritis, ankylosing spondylitis, autoimmune. No one really knew what it was, but I was suffering for just over a decade, and I was able to cure myself with a diet switch.

It was all science based, and it’s a long story, but I really was entrepreneurial at all times, and I really wanted to use my scientific skills to improve humanity and not just published papers in an academic setting. And so, I switched my career, and I worked really hard with my awesome team to develop some foundational technologies that

we then I basically did. What Ivan and what was discussed earlier, which is we patented the technologies at my previous institution and then I left, and we license those. And so that’s what we’re using today. So that worked really well.

And yeah, so I really want to apply a systems biology approach to all chronic diseases and cancers and find ways to prevent them instead of to treat them. That’s why I was formed.

That prevention through ongoing health and nutrition being a huge aspect of that for sure. And yeah, and nick, from your perspective, you’ve taken a little bit different path to get to where you are getting Master of Arts in environmental based sciences.

And yeah, but environmental.

Studies actually on.

Environmental.

Studies, the.

Science interloper here.

Yeah, please tell that story.

Well, the. I mean, it’s almost a cliche that the story is that I was having a beer on New Year’s Eve with a friend and an M.D., Ph.D., program early like nine. And there was a there was a competition sponsored by an agency called the Defense Threat Reduction Agency, or Vitra, which one of the functions that they

perform as they kind of act as the CDC for the Defense Department. They also run a series of overseas labs, and they’re really interested in weird infections that, you know, military personnel and others get out and they’re also interested in biodefense.

So, they were running this competition for better metagenomics algorithms in 2013. I didn’t know what metagenomics was on New Year’s Eve 2012, but by kind of mid-January, my friend had convinced me to dive in headlong because I knew about software and contests, and he knew about genomics.

And so… really my background is more in thinking about scientific data and data at scale and software, and we approach the problem algorithmically built some cool early technology that we found really intellectually compelling and then put a little demo together that we thought folks would say like, Oh, the algorithms so accurate or oh, the algorithm so

fast. And it was a crummy demo like a really crummy, ugly experience. And we put it on Twitter as one is wanting to do. And folks said, oh, this is so easy to use. And that was kind of that was in maybe March or April of 2014.

And that was kind of the aha moment of we thought we’d built a really cool piece of really cool piece of computational biology software with some data structures and other very low-level details. And then we put a really crude web interface in front of it, and people said that’s really compelling and useful.

And I think at the time, it’s probably still too early. But at the time, you know, there were MySEQ’s landing and state public health laboratories and kind of more and more groups outside of a few of the core kind of early Pioneer Labs were starting to do microbiome.

And so, I think, you know, there was this real need to. Help more applied scientists or folks who aren’t kind of computational, we focused access and make sense of some of this data, and that was kind of the genesis of what became one codex and how we got into the space and obviously dry side perspective

and bias. But yeah, we were a bunch of data weenies, basically.

I like the science, the science for scientists, the data, the bioinformatics side of it. Can you talk a bit about creating a startup that was kind of for scientists that and now it’s been taken up by Invitae and is more public medical facing?

But the startup part of it was it just primarily like, oh, we’re putting it out there for the scientific community to access and use?

Yeah. Well, it’s a good question. So, we did a lot of that. I think if anyone in the audience is thinking about software startups, for scientists, it’s a very hard thing to sell because, you know, unfortunately. Well, I don’t know.

Scientists don’t really like paying for software as a general rule, and there’s a lot of, I guess, under accounted for labor and academic institutions that that can be used in lieu of paying for third party services and science and software in particular.

So, we didn’t really focus on selling to that academic scientific market. We really… our core business was and remains actually, at Invitae be focused on helping biopharma groups, folks doing live biotherapeutics development and otherwise interested in the role of interactions between microbiome and other life, by therapeutics or other therapeutics.

To more systematically understand who’s there in these samples, where the different bugs that are present, as well as what’s going on. So, so we always thought of ourselves as building tools to enable greater velocity of either therapeutic discovery or assay development.

And I think that in Invitae, actually, we’re really supporting both that as well as internally. We’re now obviously at a diagnostics company interested in the microbiome as a source of biomarkers for diagnostics. And the software is really, and data infrastructure is really about supporting that effort at scale and with a certain amount of velocity so that

it can be, you know, so hopefully we can get there and find something interesting and bring something into the world that improves then impacts patients’ lives.

Yeah, thank you. And Momo, your company, you’ve gotten into Nordstrom stores at Bloomingdales, you’re working very highly at the consumer facing interface. So, can you talk about creating a product that is so consumer focused?

I can. So, I do want to intrude with a little bit of an understanding of our company. So, our company recently renamed was renamed to Viome Life Sciences and everything that you can see on Viome dot com. It’s simply one application, just one application of our technology platform, and I am actually on the not on that part

of the company. I’m actually cleaning our Viome health sciences platform. And I want to mention this briefly because I’m really particularly excited about it. The systems biology platform we’ve created. It enables clinical research and large data collection from samples and data analyzes and data science and machine learning.

And this platform has been developed over the last eleven years, both prior at Los Alamos National Lab six years and here at Viome for five years. And the really exciting part about this platform is think of it as the App Store.

So, it’s like a health app store where we provide all the software and the hardware, and anyone can plug into this platform. It’s literally now open to the whole world. So, everything that I have at my disposal, anyone in the whole world can access that 100%.

And so, it’s an open platform where others can build whatever health application is of their interest, whether they want to build a diagnostic device for whatever favorite disease they have or a companion diagnostic device for any drug they’re interested in or look for therapeutic targets.

And so that’s really exciting to me. And then Viacom is just one of the applications we’re building, other applications in cancer diagnostics and vaccines and therapeutics and so on. So, let’s not talk about that one application, Viome dot com. So that is a direct-to-consumer wellness service where consumers provide their stool and blood and soon saliva samples as

well. They actually collect all these at home ship them for our clinical labs, we generate what I call chemistry data. They’re actually metatranscriptomic data, but I call them chemistry and then we overlay mathematical equations. On top of that, those chemistry data to generate personalized food and supplement recommendations for every customer.

And those supplements, they can go purchase them on their own, or they can actually purchase them via subscription from Viome directly. And so, this was basically one of the original ideas as one of the applications of the platform.

And so. Very quickly, we got to work on that, so five months after we started the company, we already offered the stool test and some initial recommendations. And at that time, the recommendations were actually made manually by a large team of people.

So, it was like a team of nutritionists and molecular physiologists and microbial physiologists and some naturopathic doctors. So, it’s really, they would get the data out of the lab, and they would interpret them. But after the initial few months, they actually started teaching all the all our A.I., all the algorithms that they were using for

this. And I started learning from all the data and from our clinical research. And so, about a year and a half later, all everything was replaced by automated algorithms. And then we added the blood test, and now we’re adding the saliva test.

So, we really want to understand it every kind of a chronic disease in sense of systems biology. I’m not sure if you had any specific questions about this.

No, I find it interesting. What I what I was trying to get out was the question of actually producing something that is usable by the consumers and so that the ability of your team, which is multifaceted to be able to interpret your scientific data to create that product, that then is something that, as Ivan asked

earlier, was a question to Chris Mason of, you know, are we not overselling the microbiome to people?

Yeah, I mean, we are just starting. We’re scratching the surface of the tip of the iceberg. So, we’re just starting, but you have to start somewhere. And as long as people don’t make health claims based on, you know, no trials, then that I think it’s OK to start and we are seeing some absolutely phenomenal improvements in some of

our customers and it’s going to get better and better because we’ve created a platform that self-learning. And it’s like a flywheel. And so, for example, one of the fundamental differences between Viome and, let’s say, Quest Laboratories, is that when Quest Laboratories performs 1,000,000th test on a patient, they provide no additional information than from the first test, meaning

they have not learned anything. They simply collect the sample, do the test and report the data. Whereas we use every single additional customer and all the data we get, we use it for machine learning so that every new customer benefits more.

And so, it’s really a self-learning flywheel. So and as we go, we’ll learn more. And right now, you know, I get a I get an email from a customer saying, you know, my psoriasis completely went away, and I’ve been trying to treat it for 40 years.

And they went to Japan, and they went to Bulgaria, and they drink the holy water, and they tried every pharmaceutical and nothing worked. And three months after the Viome diet, their psoriasis went away and they asked me, How the hell did you do this?

And I said, I don’t know. Well, we are not treating psoriasis. We don’t know how to treat psoriasis. But what we’re doing is we’re modulating the microbiome to produce fewer pro-inflammatory signals and to produce more anti-inflammatory signals and just so happens in you.

That was what was the cause of your psoriasis. And we succeeded. But it’s not like a pharmaceutical where you can target a very specific pathway and you can inhibit it, and that was the cause of disease. So, we’re still having to learn a lot and we are only really, we’ve already legally made huge progress in four indications

so far, but we’re going through more.

Great. And, Colleen, your company Pendulum is working in the medical therapeutics industry, but can you talk a bit about how interfacing with the medical community, interfacing with organizations that you need? How do you how do you how do you navigate all of the integrations that need to happen for your company?

Yeah, well, we’re not doing drug development in the way of pharmaceutical would and so we’re selling our products directly to consumers, and I think it’s super important when we’re talking about disease states that the health care community is behind you and you’re continuing to bring them along on the journey because people as much information is available from

Dr. Google. People still do also talk to their actual health care providers. And so, for us, you know, there’s a couple of really important things. The first is that the Mayo Clinic were our first investors and they’ve invested in us at every round.

And I think that that was sort of the beginnings, the foundation of the company and being really clinically and scientifically focused and driven. We have academic partners and clinical partners that we have trials that we’ve been running with, and I think COVID really, really caused us to lose a lot of money on that front.

However, I think it is really important to keep that front and center to Momo’s point. It’s not just about running a trial; it’s continuing to run trials. It’s showing that your product works in different settings and understanding more about where is there a microbiome opportunity and where is there not.

And I think that’s been really important. So, we have educational materials, clinical trial work, medical advisory boards, scientific advisory board, you know, and I always joke that those aren’t just pretty pictures on a website. We actually put all of our advisors to work so.

Chris Mason, who was on earlier, is one of our advisors. We have multiple collaborations together, including through his company, Onegevity. And so, I think those are it’s important to really stick to the science and the medicine so that you aren’t just putting out.

I think somebody wrote earlier shampoo with microbiome in it.

Yeah. Not just sharp shampoo with microbiome, it’s what microbiome, what aspects are you influencing its ecology here we’re talking about? But speaking of systems ecology, as a woman in science and a female CEO, you are. You are a rarity, and I would love it if you could speak to your experiences in in trying to secure funding and

to actually managing a company as a woman and there have been any specific challenges.

Well, I think it’s pretty well established that it’s hard to start a company no matter what. And securing fundraising is hard, I think, and managing teams and growing teams and setting a vision and figuring out when you need a pivot and when you shouldn’t pivot and kind of dig your heels.

And all of those are the challenges of being a founder. And I would say probably for me, the most important thing that I’ve experienced is having co-founders as really important, and I think I don’t know how anybody starts a company by themselves.

But having co-founders that are literally going through the same thing as you or being able to divvy up work or just having someone that you can. Say all the things you’re worried about are nervous about two very openly, it gets harder and harder as the company grows because, you know, there’s not that you don’t want to be

transparent, but there’s just certain fears that you should just keep to yourself. So, I think that having co-founders makes life much easier and much like anything else, just having partnerships and people and a good support network around you helps you be successful.

But I only have an end of one. I’ve never started another company, but I can say, like, it’s ******* hard to raise money. I don’t care who you are.

I think that is just a truism. Put it on a T-shirt and bumper stickers, though. So, we have some questions this half hour. I knew it was going to go by very quickly, but it is just zipping past.

We have some questions from our audience. For those of all of you who have transitioned to industry, McKenzie Lynes is asking How has that transition changed your perspective on science? So, Momo, if you want to start this one.

Well, I kind of had this perspective before I transitioned to industry, I really wanted to do something applied as something that can change people’s lives. So that has remained the same always. I did not, you know, I went to I went to an academic retirement party and the person had published 180 papers and it was

a big To-Do. And it was like, wow, this guy is amazing. He published 180 papers. And I asked, did this that any of these papers impact any humans on this planet in any positive way? And that was a difficult question to answer because they really didn’t.

And so, this is the kind of realization that drove me to exit that academic world where it’s publish proposals, publish proposals, published proposals, just exit that cycle and do something that actually changes people’s lives. And it’s true in industry, you can actually do that.

Yeah, quite true, Colleen.

Yeah, I totally agree, I think being able to point to a population of people and say it changes people’s lives is extremely rewarding and you come in every day. Your goal isn’t around publishing. Your goal is around. How many more people can I help?

And so, if that’s the kind of thing that motivates you, it’s very rewarding to be an industry. I would say the thing that most surprised me when I had my first job in industry coming out of academia because I didn’t work in between my education I just went straight through was that I feel like there was this

perception that if you’re a really good scientist, you’re in academia, you’re a professor. And if you’re like a, you know, second tier scientist or you’re OK, you’re an industry. And I would say that I at my first job, I just kind of walk through the doors thinking that I was going to be a hot shot and

I was definitely not a hot shot. And I think what I. My perspective changed that there are amazing scientists up and down, left and right and industry. And so, if you’re coming out of academia and you only know that one world and you’ve only seen your professors and their colleagues and what that life looks like, I encourage

people to go hang out with some people in industry. See if you can shadow sit in on a lab meeting because I think what you’ll find is that there’s amazing science with just a slightly different perspective that’s going on everywhere.

And I think that was that was important. I just learned it by accident.

Thank you for sharing that. And Nick, did your perspective change?

Well, I don’t I don’t know. I didn’t go through that transition, so yeah.

But you did transition to industries. I mean, you weren’t specifically working in industry.

Yes, I did transition to yes, I transition to microbiome. I mean, I guess I can say a tiny bit about that. But yeah. For me and for the team that we built and now actually the team at Invitae, I think, you know, the reason I got into this space was very much to pursue.

Well, I was in San Francisco, right? There’s a common trope about how there are a lot of brilliant minds being wasted on optimizing ad spend. And I think there’s some truth to that. And, you know, this was a compelling problem through which.

Better software, better data analysis, some of those skills that that I and the team that we built had could, you know, make a difference, whether that’s by accelerating certain therapeutics developments or whether that’s, you know, particular diagnostic opportunities that I think are still a few a little way down the line.

But that we’re actively working towards. And so, I think, you know, finding that was really meaningful for me and really meaningful for the team and kind of that industry transition was really motivated by knowing or having the intuition that that would be there, that kind of meaningful balance of something that was both intellectually engaging but

also had a had a deeper purpose than ads. Not that I worked on ads before or just for the record, but you know, could happen.

If you want more than just clicks, that’s good. And as we get down into the last minute or so, hear from each of you. I’d love to see if you have any words of wisdom for future generations of microbiome startup founders.

If there’s one thing that you could tell yourself before you started, what would you go back and tell yourself? Nick, if you want to start this.

Sure. Well, so I think what Colleen said is true, a lot of things, Colleen said, are true. So, I think it’s very hard to raise money. I think it’s very hard to do. I’m sort of a solo founder and that wasn’t that kind of happened by accident.

And some just like unfortunate context about return to medical school of my co-founder and things like this. I wouldn’t do it that way, like I would strongly recommend not doing it that way. I think having a partner or a couple partners as you get started is really important and really valuable, and I’m particularly stubborn, so I

like managed to get through it. I think being stubborn in general and like not taking no for an answer is an essential quality of a founder and a lot of ways because you’ll go through some valleys or troughs, for sure.

It’s just a question of how deep they are and how regular on the journey. So, I think all those things are true. I think getting great partners is really important. If you can, then if you can’t have those people as co-founders having them as your early team, it’s really important.

And then I guess the other thing I would say is. I think that people often. Think that despite the responsibility and burden of the startup resting on the founders’ shoulders, which it often does a particularly in relationships with investors, I think sometimes there’s an incredible community of folks who’ve built companies or done similarly entrepreneurial things that

I think are there for folks to reach out to and are happy to give back and kind of pay it forward. You know, so I would also say finding folks who’ve been in your shoes or the path that you hope to walk can be hugely helpful.

And, you know, speaking for myself, like if anyone’s doing anything and microbiome on the bio side, I’m always happy to chat and I think a lot of people are.

Momo, would you like to chime in here?

Yeah, I have a couple of actually suggestions. one is that to me, I think while thinking of, say, an academic position or any kind of a position where you have a job and you’re not actually a founder, well, that seems to be less risky.

And people say, 00, founding a company, a company is too risky. I would actually turn that around and say that it’s actually far riskier to have that cushy job because it’s going to prevent you from reaching your maximum potential.

It’s going to slow you down over time. And you’re basically you already know what you’re risking. You’re risking making big progress. You already are setting yourself on a path. Right? Whereas if you become an entrepreneur, you may have failures.

I mean, you guys saw Chris Mason had a failure early on and look at what he’s doing today, right? So, you may have failures. You may have these valleys where you may feel like you made a mistake, but as long as you keep learning and growing, you will eventually come out a winner.

So that to me is a is really the perception that I think is wrong among most people to think that it’s risky to do a startup. I think it’s the opposite. So that’s one thing. And the other thing that I want to mention is it’s the people, it’s the people who you co-found with.

It’s the people who you hire, it’s the partners that you work with. Nothing else matters or everything else to me is just, you know, patents, trade secrets, location, theme. All that stuff is just not important. If you have the right people, you will succeed.

It’s really that simple. And so, pick the right co-founders, the right employees, the right partners, and life is going to be just a blissful success.

You’ll be sitting pretty. And Colin, do you want to finish? Just finish us up here with some advice.

Wow. I really. They took all my ideas. Now I think it’s great advice. I mean, I didn’t get any advice when I started the company. So, it’s kind of like having kids. It’s better to not know what’s about to happen.

I think in addition to all of the awesome ideas here, even though we kind of all very clearly said it’s very hard to fundraise, I think it’s actually really important to try to pick investors that are that are going to be good for you and for the company.

And what that means is like, there’s a tendency to try to alter your pitch to be the thing that you think that investor wants to invest in. And the goal isn’t to get that dollar in the door. That is the immediate goal.

But the goal is to build a company that is going to create the kind of change that you’re envisioning when you start the company. And so, to the point that the moment is all about the people, it’s not just the people in your company, it’s also the investors that you surround yourself with.

And science is hard, and it takes a while to do things. And so having investors that are alongside you for that and aren’t going to pressure you to do things that aren’t really your vision of the company, I think is super important.

It’s hard. It’s a hard thing to do when you’re out trying to get a book to say and also be selective. But I do think it makes a difference to end up with strong investors that are aligned with you.

And the other thing I would say is that expect failure. Failure is just a part of the whole thing. Little failures every day. Larger failures company going under. All of these things are just part of growing and learning.

And if you’re not feeling you’re not really doing something interesting. And so, I think just trying to be not afraid of failure and embracing it, I think is important you’re being courageous if you’re starting a company and failure comes with that.

Yeah, I think scientists, people going through the scientific process are probably well versed in failure, so many experience experiments don’t go anywhere. Your methods don’t work. The protocols are wrong. You have to go back to the drawing board.

So hopefully, you know, this is something that many scientists, graduate students, postdocs are in the process of really getting good at right now to be able to take into their into the world with them. Thank you all of you for this wonderful conversation.

This has been great to get. Get your information. And if anybody in the chat giving comments has questions about specific companies, you can reach out to these individuals separately.

Great. Thank you. Thank you, everyone. I’m just echoing what Kiki said. We really appreciate that as a great panel and yeah, like, thank you for your insights. So, I’m going to go ahead and remove you from the stream.

So, thank you and goodbye. And then we’ll wrap up the event.

Oh, why hello there? Well, thank you guys for staying through all that. That was awesome. Nick, Colleen, Momo, I’ve known you guys for a long time. We worked together, possibly eaten burritos together. But to see you guys all in the panel is like amazing.

I’m very privileged to have you. Dr. Kiki is an awesome moderator. For those of you in the audience. Don’t know. Dr. Typekit runs a podcast called This Week in Science. That is super fun, and I was the guest on it once, and you all should watch it or listen to it.

And they talk about not just genomics. They talk about like space and like fungi that control ants and like that kind of stuff. And so big shout out to that big shout out to our sponsors once again. And the final thing we do at the end is I’m going to give away two more of these babies

and the winners are. McKenzie Lynes and Karl Sabby, you’re going to get an email at the end of this and you’re going to get your very own DNA socks, everybody else. Thank you so much. Follow us on Twitter.

I was about to say smash that subscribe button, but I forgot this is not a Minecraft play video. So, follow us on Twitter. We’re going to have more of these. Send us questions. You know, our goal is to connect you and help you guys do what you need to do.

So, with that, I guess I’ll just sort of stop talking and thank you for coming.

Thank you, everyone. Have a good evening.

Academia to Industry: What Students can Do to Prepare for Startup Career Paths

Five panelists speaking during online event

 

“Try not to be a sociopath” – Robert Hayes, PhD

A morsel of advice unanimously agreed upon by the panel of experts at the Spring Genome Startup Day event, good communication and empathy go a long way in startup environments. However, it takes more than a good attitude to flourish in this diverse and expanding industry. During our Spring Meetup, we assembled a panel of speakers to discuss how to succeed in a startup, to explore the range of startup career paths, and to provide advice on making the jump from academia to industry. 

 

The Bridge to Success

Initiating the fireside chat, CEO of Phase Genomics, Ivan Liachko, PhD, along with founder and CTO of Pacific Biosciences, Stephen Turner, PhD, also emphasized the importance of passion in the startup workforce. 

“Startups succeed because of the passion of the employees.” – Stephen Turner, PhD

However, Turner noted that startups must have more than ambition, and work tactically to “build the bridge” between their product and their consumer base. This notion was echoed in our panelist discussion. Lena Shaw, director of marketing at Navigating Cancer, cautioned against being caught in the “overanalysis paralysis” of technological development, and instead, focusing on improving client outcomes, which drive startups towards success. 

 

Foundation & Integration

Many entering startup companies look for positions outside of being a founder or CEO. During the event, fireside speakers and panelists had a lot to say about the wide range of roles in startup communities and how to prepare for them. While each role may vary depending on the company and its needs, there are universal traits that will facilitate better integration into startup working environments.

A common theme discussed was the importance of versatility. Gabriella Kiss, PhD shared her experience with the transition from working in a very specialized position as a doctoral student to the multiple roles she undertook when moving to a startup company. Moreover, just as important as versatility, is communicability. Being responsive and working well in close-knit environments is essential to performing well in these companies. Panelists described their work life as akin to family life, needing to collaborate to overcome differences and disagreements. 

 

Starting during a Pandemic

Despite the complications the COVID-19 pandemic imposed on the world, our speakers remarked that biotech startups are actually growing! Dr. Kiss noted that working with teams around the world became more economic and ecological as many adapted to online conferences instead of flying for meetings that could otherwise be done virtually. Furthermore, several panelists mentioned the growth they have experienced in their companies over the past year. Concluding the meetup, they were adamant about encouraging viewers to seek startup employment opportunities, assuring that startups are always looking for the right candidate to hire. 

 

View the event recording below for the full conversation and more insights into the world of biotech startups. 

 


Stay up to date with Genome Startup Day on Twitter and LinkedIn or watch previous events on the Genome Startup Day website.


 

Startup Stories: Navigating the Ins and Outs of Incubators and Accelerators

Insights from the Trenches with Genomics Startup Founders

 

In the first Genome Startup Day event of 2021, we highlighted one of the most critical decisions facing early-stage founders: whether or not to enter an accelerator or incubator. Three genomics startup founders from across the US shared how their unique experiences helped shape their company’s foundation and path to success. From mentorship to hiring to building community in a virtual world, these founders’ candid and frank stories deliver tangible and educational takeaways for new and future founders alike.

 

Watch the video here or read the full transcript below.

 

 

Transcription results:

S4: 30:15 [Ed Winnick] Okay, great. Hello, everyone. As Ivan noted, I’m Ed Winnick. I’m editor-in-chief at GenomeWeb. I’m really happy to be participating in this event today. We have a great panel of startup founders today from three companies. We’ve got Natalie Ma of Felix Biotechnology. We’ve got Joe Miller from [Cqua?], and we’ve got Alex Rosenberg from Split Biosciences, which as of a day ago, is now called Parse Biosciences. And I’m sure Alex will tell us more about that in a moment. So what I like to do is start off by giving each of you a little bit time here to tell us about yourself, your company, and why you chose the path of being involved with an incubator, an accelerator, both or neither. So let’s start with Natalie, and then we’ll go to Joe, and then, Alex.
S5: 31:06 [Natalie Ma] Great. Thanks, Ed, and thank you again, Kayla and Ivan for setting this up and inviting us. This is a fantastic event, hopefully, very informative for all of you. I am co-founder and head of business at Felix Biotechnology, where we develop phage technologies to essentially overcome the key limitations of phage therapy and produce commercially viable phage products. And so a lot of what we were interested in is solving two problems. One of them is evolution of resistance to [inaudible] microbes. And then, the second one is how strange a phage, because that’s a key challenge. They tend to be exquisite, essentially microbiome, skiable. If you want to edit a strain, a species, or even a strain with species of a genome or change the microbiome in some way, they’re perfect [inaudible] anything else if you get to host phage naturally, right? So what we do is we develop generalized therapies. So we’re essentially creating phages that are engineered from [tuned?] host range and then, we leverage the way the phages work against the host to actually try evolution to our advantage by targeting phages to specific mechanisms of the virulence, antibiotic resistance, whatever treatment you want to edit out of the genome, and allows you to take advantage of evolution instead of trying to fight it. So the resulting microbe usually because the phage ends up then being [inaudible] with antibiotics or less virulent [inaudible] the patient or lacking some trait you just want to get rid of.
S5: 32:36 So quick background on myself and who I am and how I got involved with this super awesome work is I’ve PhD in Synthetic Biology or Molecular Biology, depending on who you’re talking to and how much trouble I’m trying to cause. And after that, went into management consulting in the healthcare space helping companies commercialize therapies and then jumped to essentially helping launch startups out of my, the same program I went to for PhD at Yale, where I helped roughly eight faculty, three ventures got off the ground by the end of my year there to the tune of about three million combined. And Felix by far was the coolest venture that I worked with. And our strategy was to go through an accelerator program. We were part of Illumina Accelerator. For us, sort of at a high level because I’m sure we’ll get into more questions around this, Ed, is the value to us was having a really well outfitted space, and then the sequencing that Illumina provided, because, again, we’re heavily data-driven startup, really we need to understand phage and host interactions and use that as the seed data for our machine-learning platform to understand what are the key genetic determinants of host range. So the services and support that Illumina’s provided were invaluable for us to get our first data set and understanding how these phages work.
S4: 33:58 Great, Joe, why don’t you go next?
S6: 34:00 [Joe Mellor] Thanks, Ed. Yeah, so I’m Joe Miller, I’m the founder and CEO at seqWell. So our company focuses on creating sophisticated library prep tools to sort of help power sequencers and collect more information. Our technologies are really focused on how to improve the scalability of multiplexed genomic assays focused on a variety of areas, single cell sequencing, high-throughput sequencing of other things, recently doing some really cool work to help accelerate some of the incredibly important COVID sequencing effort that’s now scaling up around the US and the world. When I started the company, myself and my co-founder, Jack Leonard, I would say the availability of incubator space was crucial. The sort of thinking of a company, especially at its early stages, a sort of a young person having a place to live is very, very basic on the hierarchy of needs. And the benefits from it were not just being in a space where we had the ability to really kind of test early product concepts and really do some of the work that was required. But also it put you in a space where there were other companies at that same stage of life. And that turns out to have all sorts of, I think, healthy psychological benefits. As a founder I think we don’t spend enough time probably as founders ruminating on the stress that it causes, but it is very stressful. And having other people around you who are going through the same thing is incredibly helpful. And really, it acts as a way of calibrating your own experiences with other companies. And you realize, hey, what we’re going through is very similar to what any company in nearly any space at our stage of growth would be going through.
S6: 36:20 And I think back on the comments that Mostafa made a few minutes ago about the importance of team. Again, I firmly believe a company is really its team, and I feel incredibly fortunate to have brought in some incredible team members over the past few years as we’ve grown. And to me, that is what building the company is all about. The talent and getting everybody kind of rowing in the same direction is really what building the company entails. And the products are in some ways a consequence of doing things the right way and really, I think that has for us been, I think, the learning experience. You have to be willing to take those risks and make a few mistakes along the way, and I think, but certainly, I would definitely recommend any company getting started to take advantage of any incubator opportunity that they can. And again, I think seeing your company as part of an ecosystem with other companies, and incubators are a special place where multiple boats can rise at the same time.
S4: 37:49 Okay, thanks, Joe. And Alex, how about you?
S7: 37:52 [Alex Rosenberg] Sure, thanks, Ed. So I’m Alex Rosenberg, the co-founder and CEO of Parse Biosciences, and as Ed was just mentioning before, we actually recently yesterday just announced our Series A and rebrand from Split Biosciences to Parse Biosciences. And so the company what we’re doing is we’re offering a scalable single-cell sequencing solution where the key thing is you don’t need an instrument to use this technology. So it’s an all-inclusive kit that allows anyone to get started with single-cell sequencing and really scale up their experiments. And just in terms of my background, how I got into this, this was something I co-developed with my co-founder while I was a postdoc at the University of Washington. And so at the time, I think we were very focused on just technology, on developing. And as we’re kind of going along, single-cell sequencing was getting a lot bigger. We actually had a lot of people reaching out to us, “How do we get this working in our lab?” And for us, it’s really important to actually get this out to people. And I think a lot of times what you see is academic methods, they kind of die in academia. And to actually get it out to a lot of people and allow them to use it takes a lot of effort, and that’s not something that academia is well suited for. And so for us, we started the company. This is early 2018. It was about the same time we ended up publishing the work, and since then, we’ve really been pushing the company, growing. We’re 16 people at the company now, when I guess with respect to incubators, we were actually really lucky. So we spun out of the University of Washington, and they actually have a lot of support for companies and sort of a very entrepreneurial spirit in general at the university. And so one of the nice things is they actually have lab space for spin-out companies. And so it’s kind of like a pseudo incubator that has a lot of the resources you would expect at other incubators. But as Natalie and Joe have mentioned, getting lab space when you’re small is critical and just being able to operate in the beginning there is super important. We also, through the incubator, as Joe was mentioning, we were able to interact with other companies. A lot of people, I think, emphasized, it’s really important to talk to a lot of people when you’re getting started, especially when you’re coming out of academia, that there’s just a lot you don’t know that you’re going to have to learn. And some of that’s going to be from customers that you’re going to have to keep talking to customers. I think in some ways, given that I worked in kind of the same fields that my customers are, I had a pretty good sense of the customers, but you still want to talk to them. But a lot of the sort of business aspects that you’re trying to pick up, those are the things that you want to have good people around you, good advisors, also talking to other companies, learning about what other company’s doing. Maybe there’s better ways that you could be modeling things based on those other companies.
S4: 41:06 [EW] Great, thanks a lot, Alex. Natalie, I’m going to give it back to you here. Can you talk a little bit about the process of joining the accelerator and explain the attendees who might be a little less familiar with how they work, what a typical arrangement looks like? And tell us in the world that we’re in now, pandemic, people not being able to go into offices and lab spaces, would it be worth it to do without the access to the physical space?
S5: 41:36 [NM] Yeah, that’s a great question, Ed. So in terms of the accelerator program process, it’s typically an application that you fill out, and there are generally pre-set terms, and that’s typically a percentage of equity stake in the company in exchange for the lab space and additionally, in our case, services through Illumina Accelerator. So you go to the application process and this sort of speaks, I think, one of the things that’s really nice about the accelerator programs is they’re often not just a lab space, but also, I think a mark of validations that way, right, because someone has vetted you, and so that can open doors. And so that, for us was helpful as well. So that’s how we got into Illumina Accelerator. In terms of the second part of the question, speaking to that value proposition, I think it’s incredibly valuable. One, because of that mark up, again, validation, it’s like, hey, we’re an Illumina Accelerator company. Mostafa and [inaudible] had looked at our program and thought, “Hey, they’re doing something super cool. We should support them, and we think that there is a path forward.” So I think there is still a lot of value there. And I know in the case of lab space, at least here in South SF, the lab folks are considered essential employees. Access to that lab space still exists, at least again in our area, are going to continue to exist unless something really existential happens. The office space, I think, there is value to it, but at least what we found is many of the connections that were valuable were came through digitally anyway. And so the other thing that was great was that the staff and Amanda could help us understand like who should we talk to to leverage our platforms and build out additional partnerships in addition to getting data on our lead asset? So both of those things, I think, are still really valuable for the sort of accelerator route, despite sort of the the changes that the pandemic has brought.
S4: 43:31 [EW] Okay, thanks, and Joe, your experience was slightly different. You did an incubator. So how did that differ from the experience Natalie just explained?
S6: 43:41 [JM] Yeah. So there was certainly a phase of trying to apply to get the space in that incubator, and certainly, there’s a process that requires a certain level of having things really well articulated and lined up in order to be able to do that, and I think that was certainly helpful. For me, I think joining the incubator again was– we were there for less than a year. And I think part of the reason why is because one of the benefits of being there we quickly sort of outgrew, which was the amount of space that we needed. And I think we certainly had a great experience there and the support structure that was there to kind of even in the case of the lab space that we moved into after we left the incubator was owned by a firm that was closely tied to the same organization. The network effects that kind of are created by tapping into a resource like this or you don’t really see them ahead of time. But so again, it’s really– but it’s an investment really in kind of the future of the company to put yourself in a situation where those effects are allowed to really work in your favor. So, again, I think I almost can’t imagine starting a company without that sort of resource in place. I think that especially a company that’s not starting with a huge sort of check up front, so I think it was clear in our experience.
S4: 45:47 [EW] Okay, thank you. And Alex, you actually didn’t go through an accelerator or incubator, but you did get help from UW. Just wondering what was different about your experience compared to that explained by Joe and Natalie?
S7: 46:03 [AR] Sure, I mean, I think ultimately you got to get to the same place that you have to build your network. You have to understand how have other people before you done this, and especially coming at it from the academic side where technically you might be good, but there’s still so much you got to learn. And as Mostafa was talking about earlier, the technical side, the idea is just one aspect of it. There’s all sorts of execution and different aspects that you’re going to have to learn from other people and bring people on to the company. And so I think for us, we were really lucky that University of Washington, they helped us start to build that network, and they have different people who have started companies, angel investors, who’ve started companies in the past and been successful and sort of want to give back and help younger entrepreneurs. And so that was, I would say, a good way to start building our network. Obviously, from there, I think what you have to do is really branch out, and every person you get introduced to, you have to make sure you’re asking them if there’s other people they can introduce you to, and it’s kind of just this spiraling effect that if you really put effort into it, you’re going to meet a ton of people and that aspect is critical. So I think there’s different ways to go at it, and it sounds like a lot of these accelerator programs are actually a great way to do it in a very condensed time-frame. I think, in a lot of ways, we were lucky we had the support at the University of Washington.
S4: 47:43 [EW] Yeah, great. And that’s a great lead into the next question, which is about mentors. Usually, if you belong to one of these programs, you have access to mentors. And I’m curious about your experiences with that. And can you talk about where you found mentorship or coaching or community to support you as you’ve gone through the startup process? Natalie, why don’t you go first?
S5: 48:07 [NM] Yeah, yeah, and I just wanted to follow up on the last thing, I think the pathways in general will very much depend on your venture or your startup, right? So there’s not a right answer here. It’s very much what is the key next step you need to figure out and what tools will help you get there. So on the venture side, we again had great access to mentors, the folks that were connected to Illumina Accelerator, people who were interested both in DC as well as on the regulatory side, which was incredibly helpful for us. Again, because we’re a therapeutics oriented company, our lead asset is now in a phase one, two clinical trial. So all of that was incredibly helpful to help us know, okay, again, what’s the next step we need to do, and what is needed to get things off the ground?
S5: 48:55 In general, there are sort of three buckets of folks I’d say you encounter in the venture or not the venture, the sort of startup space. There are folks looking who are for consulting services and want to see you transition as a client. They’ll provide some initial upfront help. There are folks who are looking for their next gig. So they would want to join you generally in a C-suite position, and they’re looking across multiple things. They might provide some help to you, but their idea is to get that next role. And then, there are folks who have been through the process, and really, I would say they sort of help out of our memory of having been there and someone helped them. So they’re paying it forward and helping you solve problems that they would want to have had help with if they were starting out. And so those three groups of people sort of can serve different roles and have different specialty, but understanding where the person’s coming from helps you frame the right questions.
S6: 49:50 [JM] Yeah, I definitely agree with the value of that last category that Natalie just outlined. We had the benefit of, again, a network of in some cases, serial entrepreneurs who had worked in companies, perhaps some in life-science, but some not. I think when you’re a– especially when you’re a first time founder, the number of sort of unknown unknowns is extremely high, and you have to really collect as much of that type of advice as possible from people who have been there and done it. They’ve been through that. They were at some point the first-time founder or CEO themselves. But quickly realize, the goal was not necessarily to know everything, but certainly to know what I didn’t know and know where I might be able to go find it. And I think having people who have literally been there and done it who can help you think through and be a sounding board or just provide the pointers that are kind of critical in those early days, I think, is extremely important.
S4: 51:10 [EW] Alex, you have anything to add on that?
S7: 51:14 [AR] Yeah, I mean, I think Joe and Natalie hit it right on the head here. You really do need, I think, different types of mentors too. You’re going to have peer mentors who are maybe at similar stage with their company’s view. You’re going to have people who maybe they’ve done this multiple times, had several successful exits or high up at a big company. And you’re going to get different advice, I think, from different people here. And so I think it’s always good to kind of average out over the advice you get over different people because it’s always going to be very specific to that person. And a lot of times, people are sort of actually just rationalizing the decisions they made in the past, and it’s kind of important to see which of their pieces of advice actually apply to you. And we’re a bit different. For us, getting advice from someone who has started a therapeutics company, some of that advice, I think is still going to be very applicable. Some of it’s going to be different for us. And that’s kind of where you have to take that advice, but also as you’re moving forward in practice, you’ve got to think about how you should be applying it.
S4: 52:28 [EW] Yeah, that’s great, thanks, Alex. So we talked a lot about the benefits of joining these programs, but were there any unexpected drawbacks or challenges that you found with being involved with an incubator or an accelerator, Natalie?
S5: 52:44 [NM] Okay, I’ll start off, but I think mine’s going to be pretty short. For IA, it is the nicest lab space you’re going to have for a while because it’s part of Illumina, and so the lab space is phenomenal. I mean, we’re now housed in J Labs at [Easter?] point. So it’s also incredibly nice lab space. But as we were looking around landscape transitioning out of Illumina Accelerator, we’re going from a place that had everything set up for us to more sending up on our own, which we knew was going to happen, but it always is in the moment like, oh, okay. We’re going to have to account for all of these things that we once relied on Illumina for.
S4: 53:25 Joe?
S6: 53:26 [JM] Yeah, no, I mean, if I was to kind of to simply summarize what Natalie just said, you can get spoiled. And I think, again, the role of the incubator is to get you kind of on your feet and on a path, but I think it’s incredibly important to realize that the goal when you’re there is to leave. And again, some incubators have kind of more rigid timelines as to when that needs to occur, sort of dates on the calendar that you– we need to be have some cash flow by this point in time. I think if I was to sort of generalize from what I have seen as a pitfall, is if there isn’t a kind of push to help companies leave the nest, I think they can linger sometimes. And again, it’s comfortable. It’s usually, well, very affordable, if not subsidized lab space. And so I think it’s important to keep that in mind as a founder that your goal in going to an incubator is [supposed?] to join, but then to also leave.
S4: 54:36 [EW] Okay, thanks. Alex, I don’t know, given your situation was differently, if the challenges were similar or different for you.
S7: 54:48 [AR] I mean, I would echo. I think in general, we were extremely lucky with our incubator space and just the support we had from everyone. I mean it. So really nothing negative to say there, Ed.
S4: 54:59 [EW] Okay, great. So you all mentioned the importance of teams for [inaudible] startup. Do you think there’s a different combination of skills or personality that’s necessary for your team to be successful? Joe, why don’t you go first on this one?
S6: 55:16 [JM] Yeah, I mean that’s a good question. I feel probably to really answer that question well, I would need to have more than one and number of companies. I can tell you from what my experience was, those early employees have to really– those co-founders and early employees have to be able to do nearly anything. Again, it’s wearing sometimes any hat any day. And I think so there’s a mindset that comes with that that is not going to– it’s not easily boiled down, but you hope that you learn to recognize that because those kinds of people are extremely helpful. So I think there’s certainly a mix that there’s probably– some mixes that are better than others, but ultimately that kind of flexible mindset to me really supersedes and dominates that, I think.
S4: 56:25 [EW] Yeah, Natalie, do you have any further thoughts on that?
S5: 56:27 [NM] Yeah, I definitely agree with what Joe said. Spot on. And I would only add being very, very acutely aware of what your skills and strengths and your weaknesses are, and then getting along with the team because that was one of the major reasons, when I had options to join various ventures, I chose Felix was by far the best team to work with in terms of compatibility, because you, as a co-founder, is going to be spending a lot of time together, and you want it to be enjoyable as well as fulfilling and world-changing, right?
S4: 57:03 [EW] Yeah, great. Thanks, Natalie. Alex, how about you?
S7: 57:07 [AR] Yeah, I mean, it’s just that [inaudible] some of those things. I think in general you have to have a mix of diverse people on your team with different skill sets. I think one of the things it’s extremely cliche, but I think when you’re running the company, you realize it is that teamwork is just incredibly important, and there’s very few things that are being done in isolation. It’s very different coming from academia where you have one project maybe you’re working on with one or two other people where that’s really there’s nothing like that. Very few things are like that in the company. Everything you have to communicate with other people. And so I think bringing– we’ve been extremely lucky to have people who are really excited to work together and all motivated towards the same goal. And that’s something I’m sure everyone has heard as advice. But I think when you live it, it’s really important.
S4: 58:04 Okay, thanks a lot, Alex.

 

 

Founders: Why You Should Consider a Chief Janitorial Officer

 

Insights for biotech founders from a leading voice in genomics commercialization

 

What’s in a fancy startup C-suite title? The answer from luminaries is: “nothing if the startup fails.” In the first Genome Startup Day of 2021, Phase Genomics’ Founder and CEO Ivan Liachko, PhD, sat down with Mostafa Ronaghi, PhD, Senior VP for Entrepreneurial Development for illumina (retired), founder of multiple companies, and longtime champion of genomics commercialization. In the fireside chat, Dr. Ronaghi spoke of how startup founders should not focus as heavily on their and others professional titles and instead focus more on taking care of their growing team and getting the important work done.

 

“In order to get the right team, you really need to be generous and have the right people driving the right function. The startup is not about the title… everybody is doing whatever they can,” Dr. Ronaghi said. “So, I announce myself as CJO, I’m the Chief Janitorial Officer, and if you want to, you can give me a title. But the title doesn’t have any value. I mean, you are basically a CEO of a one-man company or a two-man, three-man company, so that doesn’t mean anything. You are there to do something.” (view video clip at 11:39)

 

Dr. Ronaghi also addressed his thoughts on what newly founded startups (view video clip at 15:04) should aim to optimize first (hint: it’s not revenue). Watch the full fireside chat or read the entire transcript below the video.

 

 

Transcription:

 

S2: 02:19 [Ivan Liachko] Hello, everyone. Thanks for coming to another installment of Genome Startup Day. As you can see from my outfit, we’re about to do a fireside chat. We’re very fortunate today we have with us Dr. Mostafa Ronaghi from, well, I was going to say from Illumina, which is largely true. And Mostafa, starting at 2008, he was the Chief Technology Officer and also Senior VP at Illumina. Before that, he was at the Stanford Genome Technology Center. He also founded a number of companies. He was one of the early pioneers of Pyrosequencing technology, and he’s founded a number of startups, including Pyrosequencing AB, ParAllele Bioscience, Nextbio, and Avantome. Just a couple of days ago, he announced his retirement from Illumina, but we’re lucky to have him here to talk to us about– to talk about startups and sort of his history in the space. Mostafa, thank you so much for coming.
S3: 03:36               [Mostafa Ronaghi] Thank you.
S2: 03:39 [IL]So you’ve been a sort of a champion of entrepreneurship for a while. You’ve been with Illumina for a long time. That’s kind of the sort of the top line item on the biographies. But you’ve actually done so much in the entrepreneurship sphere. What sort of drives your interest in supporting biotech commercialization and startups in general?
S3: 04:02 [MR] Thanks, Ivan, for having me and thanks, Kayla, for organizing the event. So, yes, I think it has been, of course, a passion, but the passion comes from the impact that you’re making on human life. So when I was in high school, I decided to be in the field of medicine. I wanted to become a doctor, a physician, and after going to different practices and clinics with my uncle, so I decided doctor is not my thing, but I love medicine, and I want to be an entrepreneur in this field. So when I moved from Iran to Sweden for my education, I knew exactly genetic is the area that I want to focus on. And I did my PhD in Genetic Engineering, and I ended up developing Pyrosequencing technology, which was the first next-generation sequencing technology. And the word of sequencing by synthesis actually was going in my first publication basically which was describing the Pyrosequencing technology, and there are a lot of technologies that we have in offshoot of that. But when I look back, that’s the technology, of course, but that technology was fundamental in enabling a lot of applications. And we knew that some of those applications are going to be developed by other people, which was absolutely fantastic. And we really wanted to see how we can enable people to make that impact. If people think are enabled to make an impact, so I feel that I have impacted people’s life. And that was the biggest satisfaction and the drive during the course of my life.
S2: 05:58 [IL] That’s awesome. Yeah, I mean, one of the kind of themes behind this event, one of the reasons why we started it was really to kind of introduce kind of academics to the biotech life and sort of the switching from the kind of the research community over to the– maybe not switching, but people who are sort of on the cusp of transitioning maybe from academia to biotech, and a lot of folks are thinking about it these days, and so we’re sort of at that interface. And so I kind of want– I like to hear perspectives of folks who sort of have made the switch. So what would you say is your favorite thing about working with startups, especially early-stage startups because you’re involved in the Biotech Incubator or the Illumina Accelerator. So what do you like most about these?
S3: 06:52 [MR] The agility and the fact that you can make fast decisions and honestly startups, they are a source of inspiration for me. And when I look at entrepreneurs that they are in the mission of changing people’s life, and that’s a huge source of energy. And you see that they’re actually doing that. Any technology or any applications that they have been leveraging sequencing or genomic technologies, most of them, they have come into the clinical space, of course, and they are changing [your?] lives in the form of discovery or diagnostics. So I feel that the whole revolution has started. You’re not even in day one of that revolution. And so it’s amazing to see on the side and sometimes be in the action and to watch that revolution that’s happening.
S2: 08:01 [IL] Yeah, well, we’ve certainly seen that, I mean, this year, I think, or at least 2020 and 2021 have shown sort of highlighted how important biotech is for humanity. I get to sit in a lot of these events, and we spend so much money on things that are like the military, etc., and all these other things. But when a big pandemic or something comes through, the biotech groups are the ones who start kind of showing their value. What do you think sort of on the counter side of this, what do you think is maybe the biggest challenge that early-stage founders, especially sort of academic founders have in the genomics space? What have you seen that’s the most difficult to transition?
S3: 08:57 [MR] So when I look at academia, so I have been in academia and Stanford, so Stanford probably is a bit different than other academia. So it’s not taboo to start a company. You get actually a lot of credit to start a company, but the biggest hurdle I see that people, they think that it’s all about the idea. And I would say that probably idea is important, but when I look at how I weight start-up and having been involved in research in academia and going to start a company in scaling and then commercializing at the global level, so there are multiple touch points that are critical. One, of course, critical step is how to transition from academia to the company.
S3: 10:03 [IL] So at that time, you really need to think that who are the right people that I really need to have in the bus? You’re going from point A to point B, and the people are absolutely critical component of how you can make things happen. And they should have enough of incentive to basically take on that mission or to join you in the bus from going from point A to point B. So when you look at a company, at the time you start, so it’s all about team. Of course, the idea that you have is on PowerPoint or on paper. So it’s all about the team. So you should do the evaluation based on the team. And as you make progress, you get to the series A level. So, of course, at that time, people, they look at the team, but they look at what you have achieved, which, in a way, defines how good team you have had. And so you really need have a concept for a biotech or genomic company. And at the time you reach Series B, so you really need to have some sort of revenue validation. So your product should be in the market and you should have some sort of validation, which, in a way, shows how good a team you have had. So it’s all about team, team, team, team.
S3: 11:39 [MR] And in order to get the right team, you really need to be generous and have the right people driving the right function. So the startup is not about the title. So basically everybody is doing whatever they can. So I announce myself usually at startup, I’m the CJO, I’m the chief janitorial officer, and if you want to give me a title. But the title doesn’t have any value. I mean, you are basically a CEO of a one-man company or a two-man, three-man company, so that doesn’t mean anything. So you are there to do something.
S3: 12:20 [MR] And I usually advise startup not to give any title honestly. You have one person like CEO, but other than that, so you have Head of Technology, Head of Product, or Head of Revenue and so on. As you grow and you have significant ownership in the company, you really need to bring value to your shareholders, which means that you bring value to your share, which means that you are making progress on your product or the road-map of the company. So if that’s the case and if you see that by hiring a person to increase that value, you should do it. Even, they would take your job. And that’s the struggle that I see people they have at the company. And you have to realize, okay, this is your capacity, and I could bring experience at this point, or I could bring someone with a different expertise to take the torch and run as fast as you can to go to point B.
S2: 13:36 [IL] Yeah, I can definitely– I mean, definitely emphasize with the fact that as the company grows, having to relinquish and delegate a lot of responsibilities and things like that along the way is definitely one of the challenges, because you start out, like you said, doing everything yourself. And little by little, you have to specialize and try to get the right people for the right jobs and things like that. What do you think– in your experience, what do you think is the most common sort of mistake in the space that startups make? Is it that they just give everybody [Steve?] titles at first and then a weird theme thing?
S3: 14:15 [MR] That’s a red flag. That’s a red flag when I see that a lot of– see their title in a lot of big companies. Easy to give titles, but it’s very difficult to take it back, and people, they’re emotional and you don’t want to be in that position. That’s a red flag usually for me.
S2: 14:32 [IL] Is there something that you see that young sort of early-stage startup neglect that they really should focus more on? I mean, for me, for example– just an example, for me, clearly, sort of marketing and sales in the early days was not something that I was paying enough attention to as much as should have been because coming out of academia is not something you’re familiar with. But are there other things like that that you see that are common patterns that young startups tend to sort of not do right?
S3: 15:04 [MR] Yeah. So usually, the scientific founder, they think that they have done everything and this is it, and they should have the majority of the ownership. And when you look at the cap table, so it’s heavily on the scientific founder. And then, other people, they are not going to have enough incentive, and those companies usually don’t go anywhere. So the way you want to think in a startup is that, okay, there’s a pie, but the size of the pie you define. And if the pie is this small and you have the entire ownership of that pie is not that much. But if the pie is huge and even if you have a slice of that, so that’s a lot. So I really think that you should usually think about how you can make a difference, how you can bring a product to make that difference to the market. You have to look at what’s going to happen. So number one factor for me when I start a company is I can make this company successful, not on how much I’m going to make at this company. So especially for first [a month?] entrepreneurs, they should be super sensitive about this because they should not optimize for their financials, they should optimize for how fast and how good a product they can get into the market because if you get it once, then you can always repeat that. That’s a good thing with entrepreneurship. Everybody wants to work with you, oh, you have some unique experience. You took actually one idea, and you turn that to a product, that’s a unique experience. Everybody wants to work with you, and you are going to have access to amazing, amazing people and work on even larger ideas. So I really think that at the end goes back on your position yourself in starting the company and bringing the right people to the team and give them enough of incentive. Number one goal should be how fast I can go from point A to point B.
S2: 17:17 [IL] Do you think that that sort of roots itself in the idea that most, I guess, at least academic technical founders think that the idea is good, technology is good, this thing is definitely going to work? And so, you try to kind of maximize your outcome, and you don’t realize that the greatest danger is not that your pie slice is going to be too small. The greatest danger is that your entire pie is going to be worth zero.
S3: 17:43 [MR] Exactly, exactly. Yeah. And when I look at a lot of ideas, revolutionary ideas, I usually call them the ideas that they have a miracle to overcome, and usually you see that, okay, there are some miracles that they have overcome in academia, but to make that a product that would require– of course, it doesn’t require a miracle. So, the type of brainpower that you need to have to overcome the miracles are different for type of people that they focus on how to make a product, a concept to feasible product and how to make it a robust product. And those are all different brains. And all of them, they are valuable in a company. And you shouldn’t think that, oh, okay, since I’m the guy who has overcome the miracle and have addressed the challenging issues, which is true, but they shouldn’t think that they should have everything at the company of course. Other people, they are needed.
S2: 18:56 [IL] So, yeah. So, if I may summarize, focus very heavily on the team because that’s what’s going to keep your company, determine if the company is successful or not, spend less time fighting over early-stage equity, and focus on getting the best people and motivating them as much as you can, and not everybody needs to be the same technical mindset. You need to have a diverse set of brains trying to make your company successful.
S3: 19:23 [MR] That’s right. I usually even at this stage when I start a company, people are different that they would have different value. I go equal ownership actually in those companies. That’s basically the way I have done, and I’m interested more having in ownership
I put the money in, so, and get some preferred share. But I think you should see yourself on how you can bring value to the company and work hard for the share that you have got. I mean, of course, some people, they feel that they have got less, or they have got more, but the goal of a company is not to financially address some needs of people. The goal of the company is to get their product out, and you really need to have the right people.
S2: 20:15 [IL] Yes. I’m thinking about the company that the company, if you’re the founder, the company is not you. You work for the company, and the company is really an effort of all of these people. That was another kind of thing I had to learn. What do you think in the greater scheme of things? So right now, obviously, there’s all sorts of tumult going on, but innovation is going so fast these days driven by what seems like millions of startups just all over the place. What do you think– what are you seeing today sort of in the larger scale of things that gets you the most excited? What do you think is the most exciting change that biotech is bringing to the world these days?
S3: 20:57 [MR] I think the sheer amount of data that we have. We have entered into a data-driven biology. It was based on your gut feel a couple of decades ago, but probably even a decade ago, but now we are getting into a data-driven biology, so. And AI is playing a huge factor in it. So I think that’s one of the most exciting area of AI. So if you would bring an AI person to biology, so they are not going to be that actually, right, but if you would bring a genomics guy with AI background so they understand the complexity, and of course, they could have other AI people, but you really need to have a good understanding about the complexity of the biology. Still, your gut feel matters a lot, but we are actually using a lot of data to validate what our gut feel is telling us.
S2: 22:00 [IL] Cool. Yeah. Yeah, definitely. So we’re up in Seattle, which is full of tech AI folks. So we definitely understand the power of that technology has been as well, sort of demonstrated. So we have some questions from the audience. And I think, Kayla, are you going to do them? I do them. Okay. I haven’t been reading the questions along the way. So Mostafa, you mentioned AI, but beyond just AI itself, could you list maybe some of the most important kind of must-know skills that a bio [informatician?] should sort of know in order to effectively transition to biotech? A lot of the– a lot of the point to this event is really to kind of address people who are in academia, like, what’s the best way to get into biotech? What are the most important skills? What should they work on?
S3: 23:07 [MR] So you’re asking specifically about the buying from my people, so is that correct?
S2: 23:13 [IL] More or less, yeah.
S3: 23:14 [MR] Yes, the AI is amazing. But of course, love analytical tools and coding, those are great to know, but one thing that I’ve been super impressed with is from the people that they understand the [inaudible] models. So you’re basically, you look at– to begin with, you have to produce a good set of data. If you don have a lot of junk, of course, you’re going to produce junk. So if you have a noisy model, so it will be quite difficult to analyze the noisy biology. But I’ve seen some people that they have very unique thinking on how they set up their noise model and how they treat noise and they classify that. And those are the people that I saw, well, they are making a huge, huge impact. And that was exactly how when we started GRAIL. GRAIL is a super noisy data and you are going to cancer screening, which would require detection of radio frequency of 1 in 10 to 100,000. And you have basically a tiny tumor, like a chickpea size, and that one is basically you are going to put that in the context of all the tissues in the body. So the DNA that’s secreted from that little, small tumor, you don’t know from there in the body it is, and, of course, it’s circulating among all the other free DNA in the blood. So how would you go about identifying that needle in the haystack? And that, I saw that people that they had a good understanding about the noise model, they were the one that made a huge impact. Otherwise, we were dealing with a lot of noisy data. It was very difficult to interpret. I think people that they have got good signal processing background and they have good understanding about biology and with the noise could potentially have come from, those are the ones that they have an upper hand in the industry.
S2: 25:46 [IL] Cool. Here’s another good one. How do you see– how do you see data security, data sharing, data ownership issues getting out because, again, now that there’s a huge influx of data coming in, what happens in terms of security? What happens in terms of privatizing?
S3: 26:06 [MR] That’s a very, very, of course, good question and a very important question, because health data, if you go to the dark web, I haven’t been there, but my whole day tell about the health data in the dark web actually, full disclosure. In the dark web actually one of the highest money you can get is for the health data, and definitely, there’s security and privacy of the data are of critical issues. But from what I’m seeing and hearing from the experts is that they tell that [X-rayed?] are good, advanced technology that are coming into space that could address the issue. The vulnerability’s mostly at the junction point where we have API. Of course, you could have a secure system, but as soon as you want to go from point A to point B at the junction, so those are the places that you have vulnerability.
S3: 27:16 [MR] And what I’m hearing is that the type of encryption like [morphy?] encryption and those kind of things actually are becoming a reality, so and it’s becoming– I mean, it was not a reality a year or two years ago, but now I see that actually people they have started using those things, and they could address some of the security issues. But absolutely, it’s critical to think about it. If you are a data company, you really need to make sure that you have full privacy and full security of the data.
S2: 27:54 [IL] Great. Well, thank you so much. That’s all the time we have for this segment. Thank you for participating. It’s been really great to hear your insight.
S3: 28:04 [MR] You’re welcome.
S2: 28:07 [IL] And I hope you have a lot of cool startup stories to tell in the future as well. Maybe we’ll hear about them. Maybe in the future you’ll come back.
S3: 28:15 [MR] Hopefully.

 

 

 

 

 

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