Speaker Profile
Ph.D., Co-founder, Head of Machine Learning, Dyno Tx
Biography
Sam Sinai, PhD, is a co-founder and head of machine learning at Dyno Therapeutics, a gene therapy company founded in 2018 and based in Watertown, MA. Dyno is a pioneer in solving some of the most challenging problems in gene therapy using artificial intelligence. Sam has developed the underpinnings of the AI algorithms that Dyno uses to design therapeutic proteins. Before Dyno, Sam received his PhD in Biology from Harvard in 2019, supervised by scientists Martin Nowak and George Church. There he invented multiple novel generative AI approaches for protein design. Sam is a co-author on more than 20 scientific publications including in leading AI and biology venues and holds co-inventorship on several patents. He has also written publicly on issues concerning science, medicine, and immigration in general publications such as Slate, Forbes, and Quartz. Sam received his B.S. and M. Eng. in computer science from MIT.
Session Abstract – PMWC 2025 Silicon Valley
Track Chair: Keith Yamamoto, UCSF
- PMWC 2025 Award Ceremony:
Pioneer Honoree: Robert Califf, FDA
Luminary Honoree: Ida Sim, UCSF
- Fireside Chat: Keith Yamamoto, UCSF, Robert Califf, FDA, and Kathy Giacomini, UCSF
- Keynote: Harnessing Computational Tools in Precision Medicine: Implementation and Future Directions
- Ida Sim, UCSF
- AI-driven Advances in Precision Medicine (PANEL)
Chair: Sharat Israni, Bakar Institute, UCSF
- Peter Norvig, Google
- Susan Lynch, UCSF
- Olivier Gevaert, Stanford
- Michelle Arkin, UCSF
- New Federal Programs Driving Transformative Health Breakthroughs (PANEL)
Chair: Keith Yamamoto, UCSF
- Charles Romine, NIST
- Erwin Gianchandani, NSF
- Jim Brase, Lawerence Livermore National Laboratory (LLNL) - AI-Driven Protein Design (PANEL)
Chair: Tanja Kortemme, UCSF
- Franziska Seeger, Genentech
- William Degrado, UCSF - AI and Ethical Challenges (PANEL)
Chair: Alex John London, Carnegie Mellon University
- Jianying Hu, IBM
- Cora Han, University of California Health
- Ida Sim, UCSF
