🧬 Quitting Physics to Treat Biology Like an Engineering Problem | Richard Yu (Part 1/4)
Episode
38 min
Read time
2 min
Topics
Career Growth, Productivity, Relationships
AI-Generated Summary
Key Takeaways
- ✓Interdisciplinary entry strategy: Switching from physics to biophysics at Berkeley reframed biology from an observational science into an engineering discipline — a mental model Yu applies directly at Abalone Bio today. Founders with physics or engineering backgrounds should actively seek biology problems where first-principles thinking creates structural advantages over purely observational researchers.
- ✓Mentor selection over prestige: Yu chose his Yale postdoc advisor Axel Brünger and later Roger Brent at MSI based on intellectual alignment and applied focus, not name recognition. Early-career researchers benefit more from mentors building genuinely new frameworks — Brünger was simultaneously writing code and pipetting at midnight — than from attaching to established academic brands.
- ✓Cofounder compatibility signal: Yu identifies a specific early signal for cofounder fit with Gustavo Pesce: independently discovering they had both programmed identical text-based Space Invaders games on Apple II computers as children. Shared cognitive instincts and problem-solving defaults — not just complementary skills — predict durable cofounder relationships under startup pressure.
- ✓Radical honesty as leadership tool: Yu's cofounder modeled direct feedback by publicly telling Yu his conference talk was poor immediately after others offered false praise. Founders should build cultures where honest critique is delivered promptly and specifically — naming what failed and why — rather than allowing politeness to mask performance problems that compound over time.
- ✓Computational-experimental fluency gap: Yu observes that researchers equally comfortable with wet lab work and quantitative data analysis remain surprisingly rare even in 2024. Biotech founders who deliberately develop both skill sets — as Yu did from Berkeley through Yale structural biology — gain durable advantages in designing experiments and interpreting biological data at the systems level.
What It Covers
Richard Yu, cofounder and CEO of Abalone Bio, traces his path from physics undergraduate at UC Berkeley in 1989 through structural biology at Yale and systems biology at the Molecular Sciences Institute, revealing how immigrant upbringing, interdisciplinary training, and serial exposure to entrepreneurial culture shaped his approach to biotech founding.
Key Questions Answered
- •Interdisciplinary entry strategy: Switching from physics to biophysics at Berkeley reframed biology from an observational science into an engineering discipline — a mental model Yu applies directly at Abalone Bio today. Founders with physics or engineering backgrounds should actively seek biology problems where first-principles thinking creates structural advantages over purely observational researchers.
- •Mentor selection over prestige: Yu chose his Yale postdoc advisor Axel Brünger and later Roger Brent at MSI based on intellectual alignment and applied focus, not name recognition. Early-career researchers benefit more from mentors building genuinely new frameworks — Brünger was simultaneously writing code and pipetting at midnight — than from attaching to established academic brands.
- •Cofounder compatibility signal: Yu identifies a specific early signal for cofounder fit with Gustavo Pesce: independently discovering they had both programmed identical text-based Space Invaders games on Apple II computers as children. Shared cognitive instincts and problem-solving defaults — not just complementary skills — predict durable cofounder relationships under startup pressure.
- •Radical honesty as leadership tool: Yu's cofounder modeled direct feedback by publicly telling Yu his conference talk was poor immediately after others offered false praise. Founders should build cultures where honest critique is delivered promptly and specifically — naming what failed and why — rather than allowing politeness to mask performance problems that compound over time.
- •Computational-experimental fluency gap: Yu observes that researchers equally comfortable with wet lab work and quantitative data analysis remain surprisingly rare even in 2024. Biotech founders who deliberately develop both skill sets — as Yu did from Berkeley through Yale structural biology — gain durable advantages in designing experiments and interpreting biological data at the systems level.
Notable Moment
Yu describes watching Berkeley classmates join Netscape and Yahoo in 1993 while he earned $14,000 annually on an NIH grant pursuing structural biology on the East Coast — a parallel-path moment he still reflects on, though he credits that exact detour for making Abalone Bio possible.
Episode Transcript
This episode is brought to you by Xcedar. Xcedar provides life science startups with equipment leases on founder friendly terms to accelerate r and d and commercialization. Lease the equipment you need with Xcedar. Extend your runway, hit your milestones, raise your next round at a favorable valuation, and achieve a blockbuster exit while minimizing dilution. Additionally, as a podcast listener, you can redeem exclusive discounts with a growing list of biotech vendors and get $500 off your first equipment lease by using promo code t b s p on exceda.com/partners. Welcome to the biotech startups podcast by Xceda. Join us as we speak with first time founders, serial entrepreneurs, and experienced investors about the challenges and triumphs of running a biotech startup from pre seed to IPO with your host, John Chi. Our guest today is Richard Yu, cofounder and CEO of Abalone Bio, a therapeutics company developing functionally active antibody drugs for challenging membrane protein targets like GPCRs. Before founding Abalone Bio, Richard served as scientific and operations director at QB3's life sciences incubator in San Francisco, cofounded Green Pacific Biologicals focused on algae biofuels, and was research fellow at the Molecular Sciences Institute studying cellular information processing. At Abalone Bio, Richard leads development of the FAST platform functional antibody selection technology, which uses engineered yeast cells to screen a 100,000,000 antibodies simultaneously for functional activity rather than just binding affinity, integrating synthetic biology with machine learning to discover GCPR agonist antibodies. With a research collaboration with Pfizer, breakthrough CB2 agonist antibodies showing efficacy in models of liver fibrosis and diabetic neuropathy, and a background spanning structural biology at Yale, computational protein engineering, and serial entrepreneurship. Richard's journey demonstrates how interdisciplinary experience can unlock previously undruggable targets, making this a conversation you won't want to miss. Over the next four episodes, Richard shares how growing up in Ohio as the son of Chinese immigrants shaped his values. Discovering biophysics at Berkeley transformed biology from operational science to engineering discipline and transitioning through Yale structural biology to systems biology and synthetic biology work. Today, we'll hear about Richard's early days in Ohio and New Jersey, how his parents' experience taught him to figure things out, and discovering bio physics at Berkeley through a friend who promised proteins that eat dirt so you'll never need a vacuum cleaner. We'll hear about Yale's structural biology program working on membrane fusion proteins and learning the cultural differences between East Coast academic rigor and West Coast entrepreneurial energy. Lastly, we'll hear about the transition from computational modeling to more applied work, the formative experiences that shaped his path from physics to biology to entrepreneurship. Without further ado, let's dive into part one of our conversation with Richard Yu. Rich, so good to see you again. Thanks for coming on the podcast. Thanks for having me, man. Good to see you. Yeah. It's been a while, and I, you know, been really looking forward to this conversation. I just I mean, it's been months, …
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