Socratic Seminar 73
See you all at Stanford! We're back to our first Thursday event cadence with the seminar starting at 6:30PM sharp! The reading list will be posted [here](
Introducing the Frontier Research Club AI x Bio Track. Modern biology has become a computational science. Virtual cells, single-cell genomics, protein and molecule design, AI-driven drug discovery — the questions that used to take a lab a decade are being reframed by people who read a genome the way engineers read a codebase. This track puts the researchers doing that work in one room with the founders building on it and the investors backing it. Same bar as every FRC session: concrete work, real methods and results, short talks so most of the night goes to questions and critique. What's new is the subject — biology at single-letter resolution, argued over dinner. The Frontier Research Club is a curated forum for rigorous, technical discussion at the frontier of AI. We convene researchers from the frontier labs, Stanford, Berkeley, and the teams building in production to examine concrete work — papers, methods, and results — with a bias toward assumptions, evaluation methodology, failure modes, and what would count as convincing evidence. Each session features 2–3 talks selected for rigor and discussion value. Presentations are intentionally brief so the majority of time is reserved for questions and critique. Papers and supporting materials are shared in advance to ensure a high-baseline conversation. Agenda 5:30pm: Doors open 5:30pm – 6:30pm: Networking + light dinner 6:30pm – 8:00pm: Research presentations + discussion 8:00pm – 8:30pm: Networking Presenters & topics Talk 1: Repairing a Broken Molecular Machine in Colorectal Cancer Colorectal cancer is the second leading cause of cancer death worldwide, and more than 80% of cases trace back to a single broken molecular machine — the destruction complex that normally keeps cell growth in check. Despite thirty years of study, there's still no approved drug for this pathway. This talk shows how the team mapped that machine at single-letter resolution with state-of-the-art genome editing, then used careful biochemi