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.
Talk
AI Models for Complex Biologics: Approaches and Case Studies
Focusing on AI's transformative potential in biologics, this talk highlights key case studies from the past decade. It showcases breakthroughs in biological sequence design and discusses the challenges and opportunities in moving AIs impact from experimental proof-of-concept to the development of real-world therapeutic biologic drugs.
Session Abstract – PMWC 2025 Silicon Valley
Track Co-Chairs:
Cherodeep Goswami, UW Health
- PMWC 2025 Award Ceremony
Pioneer Honoree: Paul J. Chang, University of Chicago - Keynote: AI in Radiology: A Reality Check (Climbing out of the Trough of Disillusionment)
- Paul J. Chang, University of Chicago
- AI in Radiology and Imaging Applications (PANEL)
Chair: Curtis P Langlotz, Stanford
- Paul J. Chang, University of Chicago
- Sharmila Majumdar, UCSF
- Eliot Siegel, VA Maryland Healthcare System
- Katherine Andriole, Brigham and Women's Hospital - Using Imaging AI to Better Understand Health and Aging
- Daniel Durand, Prenuvo
- AI Transforming Standard-of-Care Imaging into Precision Diagnostics
- Angel Alberich, Quibim
- Accelerating Risk Assessment and Diagnosis with AI
Chair: Pavan Anne, ZS
- Omar Perez, AstraZeneca
- Charles Powell, Mount Sinai - Overcoming Practice Gaps in Precision Medicine: Addressing Patient Leakage (PANEL)
Chair: Joe Zaccaria, KPMG
- Ed Kim, City of Hope
- Chris Scotto DiVetta, Tempus
- Karlo Martin, HCA Healthcare
- Shared Opportunities to Unlock AI's Potential in R&D (PANEL)
Chair: Brice Sarver, ZS
- Carlyn Crisostomo, Amgen
- Bill Mayo, BMS
- Stacie Calad-Thomson, Nvidia
- AI-Powered Remote Monitoring and Mental Health: Innovations and Challenges
- Sam Perli, ThinkHat
- Shah Nawaz, Regeneron
- David Rhew, Microsoft
- AI Unlocks the Clinical Utility of Spatialomics
- Matthew Goldberg, Castle Bio
- Practical Implications of Ethical Challenges in AI-driven Precision Medicine(PANEL)
Chair: Cherodeep Goswami, UW Health
- Tina Hernandez-Boussard, Stanford
- Lucia Savage, Omada Health
- Sean Hain, Epic
- Misha Mehta, Neev Kolte & Brave Ronil Foundation
