Speaker Profile
M.D., Clinical Professor of Medicine, Yale School of Medicine
Biography
William K. Oh, M.D., is currently the Director of Precision Medicine atYale Cancer Center and a Professor of Medicine (Medical Oncology) at YaleSchool of Medicine, roles he assumed in October 2024. As part of a newerinitiative at Yale, he is focused on building a cohesive program inprecision cancer medicine that integrates basic and translational science,clinical trials, and Smilow Cancer Hospitals Precision Medicine TumorBoard. A central goal of his work is to increase the routine use ofmolecular and genetic testing for all cancer patients to improve outcomes.Dr. Oh is also dedicated to delivering multidisciplinary care for prostatecancer patients, a priority he has maintained for over 25 years. He hasbeen recognized as a Top Doctor by Castle Connolly, New York Magazine, andSuper Doctors. Additionally, he continues his commitment to teaching andadvancing research in the field.Previously, Dr. Oh was a Clinical Professor of Medicine at Icahn School ofMedicine. He is an internationally recognized medical oncologist withextensive experience in clinical and translational research, holdingleadership roles in both academia and industry. He has authored more than350 articles, reviews, books, and book chapters related to genitourinarycancers. Dr. Oh has conducted numerous clinical cancer trials and served inkey invited roles for ASCO, ACS, and AUA. He has also held the position ofChief Medical Officer for Sema4, a genomics and health intelligencecompany, as well as the Prostate Cancer Foundation.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
William Oh, Yale
PMWC Award Ceremony
• Nigam Shah, Stanford
• Thomas Fuchs, Lilly
Keynote
• Thomas Fuchs, Lilly
Keynote
• Nigam Shah, Stanford
Real-World Evidence & Clinical AI: Closing the Loop Between Data and Care
• Chair: Roxana Daneshjou, Stanford
• Aashima Gupta, Google
• Brigham Hyde, Atropos Health
• Michael Pfeffer, Stanford
• Thomas Fuchs, Lilly
From Data to Decisions: Building Regulatory-Grade RWE from EHR Systems in Oncology
• Chair: Kate Estep, Flatiron Health
AI and Real-World Evidence: Building a Learning Health System for Precision Care
• Rich Gliklich, OM1
AI for Clinical Decision Support: From Models to Bedside
• Chair: Amrita Basu, UCSF
• Anurang Revri, Stanford
• Emily Alsentzer, Stanford
• Okan Ekinci, Roche
AI for CDS: From Models to Bedside
• Zachary Ziegler, OpenEvidence
Operationalizing AI in Health Systems: Trust, Adoption & Outcomes
• Chair: Danton Samuel Char, Stanford
• Matthew Solomon, Sutter Health
• Karan Singhal, OpenAI
• Sina Bari, iMerit Technology
• Shashi Shankar, Novellia
• Hal Paz, Khosla Ventures
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Vincent Liu, Kaiser
• David Entwistle, Stanford Health Care
AI for Precision Psychiatry: Integrating Multimodal Data Into Clinical Decision Support
• Erwin Estigarribia, HEADLAMP health
Workflow-First Clinical AI: Integration Patterns, Guardrails & Change Management
• Jorge Duran, Klick Health
From Patient-Generated Data to Regulatory-Grade RWE: Design, Bias & Outcome Linkage
• Greg Bowyer, Evidation
