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 at Yale Cancer Center and a Professor of Medicine (Medical Oncology) at Yale School of Medicine, roles he assumed in October 2024. As part of a newer initiative 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 Tumor Board. 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 prostate cancer patients, a priority he has maintained for over 25 years. He has been recognized as a Top Doctor by Castle Connolly, New York Magazine, and Super 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 of Medicine. He is an internationally recognized medical oncologist withextensive experience in clinical and translational research, holding leadership roles in both academia and industry. He has authored more than 350 articles, reviews, books, and book chapters related to genitourinary cancers. Dr. Oh has conducted numerous clinical cancer trials and served in key invited roles for A SCO, A CS, and A UA. He has also held the position of Chief Medical Officer for Sema4, a genomics and health intelligence company, 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: Responsible AI in Healthcare: From RWE to Agentic Systems
• Nigam Shah, Stanford
Keynote: Scaling Trusted AI: From Computational Pathology to Next-Gen Medicines
• Thomas Fuchs, Lilly
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: Nadia Poluhina, Mayo Clinic
• Kate Estep, Flatiron Health
• Alyssa Pybus, Moffitt Cancer Center
• Julie Stein Deutsch, Johns Hopkins
• Jeremy Jones, Mayo Clinic
Predicting Outcomes: An AI Model Trained on RWE 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
Keynote: AI for CDS-From Models to Bedside
• Zachary Ziegler, OpenEvidence
Operationalizing AI in Health Systems: Trust, Adoption & Outcomes
• Chair: Danton Samuel Char, Stanford
• Karan Singhal, OpenAI
• Sina Bari, iMerit Technology
• Shashi Shankar, Novellia
• Hal Paz, Khosla Ventures
• Syed Mohiuddin, Anthropic
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Vincent Liu, Kaiser
• Richard Milani, Sutter Health
Transforming Transplant Care Through AI: From Predictive Insights to Precision Decisions
• Jing Huang, CareDx
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 Durand, Klick Health
From Patient-Generated Data to Regulatory-Grade RWE: Design, Bias & Outcome Linkage
• Phil Johnson, Evidation
