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 Speaker Profile

Ph.D., Co-Founder and CTO, OpenEvidence

Biography
Zachary Ziegler is the cofounder and CTO of OpenEvidence, the leading AI-powered medical information platform. Designed from the ground up for medical professionals, OpenEvidence organizes the worlds medical knowledge to make it more useful, open, accessible, and understandable. Launched out of the Mayo Clinic Platform Accelerate, OpenEvidence has become a critical tool in physicians tool boxes, used by over a quarter of US physicians in over 10,000 care centers across the United States. Before founding OpenEvidence, Ziegler was a PhD student at Harvard University, where he worked with Professor Sasha Rush and was awarded the National Science Foundation Graduate Research Fellowship. He completed his undergraduate studies at Cornell University, where he received the Barry Goldwater Scholarship.


 Session Abstract – PMWC 2026 Silicon Valley

Track 2: AI - March 5 9.00 A.M.-4.45 P.M.


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

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