Speaker Profile
M.D., Senior Research Scientist, Kaiser
Biography
Vincent Liu, MD, MS, is a senior research scientist at the Kaiser Permanente Northern California Division of Research, and Chief Data Officer for The Permanente Medical Group. He also directs the Systems Research Initiative, a multidisciplinary team at the Division of Research supported by The Permanente Medical Group (TPMG). His work focuses on the intersection of sepsis, acute severe illness, informatics, and health care delivery with a goal of building towards a learning hospital system. He is a widely recognized expert in applied informatics.Dr. Liu is board certified in Internal Medicine, Pulmonary Disease, Critical Care Medicine, and Clinical Informatics. He practices pulmonary and critical care medicine with TPMG.Dr. Liu is the Regional Director of Hospital Advanced Analytics in Kaiser Permanente Northern California. He has led and served on committees for the American Thoracic Society, the Society of Critical Care Medicine, the National Quality Forum, and the National Institute for General Medical Services. He has served on multiple NIH grant review committees and the National Commission on Quality Assurances Utilization Measure Advisory Panel. He is an editorial board member for Critical Care Medicine.He is also an active mentor and leads the TPMG Informatics Fellowship Program.Dr. Liu received his undergraduate degree from the University of Pennsylvania and his medical degree from New York University. He completed his residency training at New York University Hospitals (Bellevue) and a chief residency at Memorial Sloan-Kettering Cancer Center. He also completed a pulmonary and critical care medicine fellowship and has masters degrees in Health Services Research and Biomedical Informatics, both from Stanford University.
Session Abstract – PMWC 2026 Silicon Valley
Track Co-Chairs:
- William Oh, Yale Cancer Center
- David Reese, Amgen
Patient-centric data, such as Real-World Evidence (RWE) and Real-World Data (RWD), has become critical in reshaping drug development and healthcare decision-making. Over the last few years, regulatory agencies like the FDA and EMA have increasingly embraced RWE/RWD for decision-making processes, influencing everything from new drug indications to post-marketing surveillance. The integration of RWE and RWD is not only supporting clinical trial design and regulatory approvals, but also enabling precision medicine by providing deeper insights into patient subpopulations and their outcomes
PMWC Award Ceremony Honorees
• Nigam Shah, Stanford
Keynote
• David Reese, Amgen
Keynote
• Zachary Ziegler, OpenEvidence
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
• Brian Bradbury, Amgen
From Data to Decisions: Building Regulatory-Grade RWE from EHR Systems in Oncology
• Chair: Kate Estep, Flatiron Health
AI for Clinical Decision Support: From Models to Bedside
• Chair: Amrita Basu, UCSF
• Anurang Revri, Stanford
• Emily Alsentzer, Stanford
• Okan Ekinci, Roche
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
• David Entwistle, CEO, Stanford Health Care
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
