Speaker Profile
Biography
Dr. Paz has served as an executive and board member across providers, payers, and med-tech. He was EVPCMO of CVS HealthAetna; ChancellorCEO of Ohio State Wexner Medical Center; and CEO of Penn State Health and Stony Brook Univ Medicine. He sits on the boards of Envision Healthcare and ResearchAmerica and previously served on Select Medical, USPI, Vyteris, and seven health-system boards. He advises Curai Health and previously advised Johnson Johnson and USPI. He has served on committees of the National Academy of Medicine and the National Academies. A former medical school dean and investigator in sepsis, ARDS, and medical devices, he has authored over 100 publications. Dr. Paz earned his BA and MD at the University of Rochester and an MS in life science engineering at Tufts, trained at Northwestern, and completed fellowships at Johns Hopkins in pulmonary and critical care and in environmental health sciences.
Session Abstract – PMWC 2026 Silicon Valley
Track Chairs:
William Oh, Yale & David Reese, Amgen
PMWC Award Ceremony
• Nigam Shah, Stanford
Keynote
• David Reese, Amgen
Real-World Evidence & Clinical AI: Closing the Loop Between Data and Care
• Chair: Roxana Daneshjou, Stanford
• Aashima Gupta, Google
• David Sontag, Layer Health
• 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, Head of Health, OpenAI
• Sina Bari, iMerit Technology
• Hal Paz, Khosla Ventures
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Nigam Shah, Stanford
• David Entwistle, CEO, Stanford Health Care
• Vincent Liu, Kaiser Permanente
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




