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In Vivo Podcast: w/ Cathy Tie and Prof. Jiang on Editing Embryos (Transcript)

Editing Embryos The Biotech Frontier That Changes Everything Cathy Tie and Prof Jiang Ep 47

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EDITOR’S NOTE: In this episode of the In Vivo Podcast, host Dr. Tim Gabor sits down with Origin Genomics founder Cathy Tie and geopolitical historian Prof. Jiang to explore the frontier of human germline gene editing. The conversation moves from Cathy’s unconventional path through biotech and music to a wide-ranging debate about how the technology could reshape global power, healthcare, and the future of the species. Along the way, the two guests offer sharply different perspectives on ethics, longevity, and what nations and individuals should do with this new ability to rewrite the code of life. This interview episode was premiered September 15, 2026.

TRANSCRIPT:

Welcome and Introductions

DR. TIM GABOR: (00:00:07 – 00:00:14) Miss Cathy Tie, thank you so much for joining me. And Professor Jiang, what an absolute honor to have you here.

PROF. JIANG: (00:00:15 – 00:00:15) Thanks, Tim.

DR. TIM GABOR: (00:00:16 – 00:00:35) This is going to be a unique conversation because obviously people know you very well for your geopolitical analysis and your view of history and predicting the future based on history. But I haven’t heard you speak much on the role of biotech.

Well, that’s because I don’t know anything.

Well, you’re going to get an education here today from an expert.

PROF. JIANG: (00:00:35 – 00:00:36) I’m here to learn. Yes.

DR. TIM GABOR: (00:00:36 – 00:01:29) Wonderful. And so one of the most controversial biotech frontiers right now is germline editing. And this is something that you’re doing and going to be doing with your company, Origin Genomics. And it’s something that we should talk about because the future is interesting and it’s moving quickly and we should discuss it.

But before we start, let’s get a little bit of insight into your origin story, no pun intended. So at a very young age you started your first biotech company, Ranomics, here in Toronto. That’s something else I should mention: we are three Torontonians here. Welcome home, welcome home.

Tell us a little bit about you, where you started, because you were very young. You’re definitely an outlier in terms of the whole biotech bro industry — first of all, not a bro, but started very, very young. How did you get involved?

Cathy Tie’s Origin Story: From Mississauga to Biotech

CATHY TIE: (00:01:30 – 00:03:30) Well, first of all, thanks for having me. Super excited to be here. It’s cool that we’re all from Toronto and we’re back here in our hometown.

I started in a really unconventional way. I grew up in the GTA. I grew up in Mississauga. I’ve always been interested in science and technology. When I was in high school, I would take the subway to go do research at the University of Toronto campus with professors and grad students. And by the time I was 16, I published my first paper in a peer-reviewed journal — on the characterization of RNF20 and RNF40, very specific proteins in antibody design.

Then when I was 18, I started studying bioinformatics at University of Toronto and kept doing research and kept publishing. But I felt like academia was very limiting in a lot of ways, because I look around me and all these grad students are depressed, overworked, being paid $30,000 to $40,000 a year. And they’re supposed to be the most educated, smart people in biotech, or in my field, genetics. And I thought that was really depressing.

I also wanted my work to mean so much more than just publishing papers. So that’s when I found out about getting venture capital funding, starting companies, as a different route than just academia, doing grant-funded research, doing grad student work, and then being a postdoc, and then fighting for the limited number of professorship positions in Canada or in the US. It was all getting more and more competitive to become a professor. This was 2014.

So that’s when I discovered there’s another world where you can do research, but in a private industry setting. I was also interested in programming, so I got exposed to hackathons, startup weekends, venture capitalists, around the same time as well. I actually won the hackathon Hack the North — the biggest hackathon in Canada. It was the first year it happened. I won it and I won four iPads. I was like, “Whoa, you can just build things.”

DR. TIM GABOR: (00:03:30 – 00:03:32) Four iPads at that time. Amazing.

CATHY TIE: (00:03:32 – 00:03:43) Yeah, that’s kind of how I got started. I found out about this other world where you can do research without having to do 10 years of academia work for no pay.

DR. TIM GABOR: (00:03:43 – 00:04:34) Yes. You broke the code, you broke through the matrix, you found a different way, because you’re right — there’s a huge amount of competition for academic positions, and the grad students are very underpaid. So you found a way around that, which is very interesting.

Let’s talk about Ranomics for a second, because it works and feeds into what you’re doing now very well. What you were studying there were variants of unknown significance. This is a very interesting concept, because as genetic analysis and sequencing became, and is becoming, more of a day-to-day thing, we start seeing these mutations that pop up that have unknown significance. And there was nobody at the time really commercializing that or even looking into it, and that’s what you focused on. So tell us a little bit about that concept of unknown significance, the variants.

Ranomics and the Puzzle of Genetic Variants of Unknown Significance

CATHY TIE: (00:04:35 – 00:04:39) So the genetic code is really interesting, because it is the code of life.

DR. TIM GABOR: (00:04:40 – 00:04:40) Yes.

CATHY TIE: (00:04:40 – 00:07:21) It programs all of the proteins that make us who we are. Every function in our cell is an expression of what was already in our genetics, especially from the embryo stage.

So when I was building my first company and doing research at 18, it was 2014, 2015, and direct-to-consumer genetic testing just became really big.