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 Speaker Profile

M.D., Ph.D., CMO, OpenEvidence

Biography
Dr. Travis Zack is Chief Physician at Open Evidence and an adjunct professor at UCSF with a lab in predictive model development in real-world health data. His research lies at the intersection of computational biology, clinical medicine, and artificial intelligence. Travis received his PhD in Biophysics from Harvard and an MD in the Health Sciences and Technology track at MIT and Harvard Medical School. Dr. Zack has dedicated his career to using data-driven approaches to address pressing challenges in oncology. His lab focuses on developing AI models to support clinical decision-making and enhance patient outcomes, including machine learningbased tools for real-world evidence studies and natural language processing methods to extract valuable insights from electronic health records.


 Session Abstract – PMWC 2027 Silicon Valley

Track 2: AI - Jan 28 9.00 A.M.-5.00 P.M.


Track Chair:
Vincent Liu, Kaiser Permanente

PMWC Award Ceremony
• Ziad Obermeyer, UC Berkeley (Luminary)

Featured Speakers
• Ziad Obermeyer, UC Berkeley
• John Halamka, Mayo Clinic Platform
• Ashley Beecy, Sutter Health
• Shiv Rao, Abridge
• Munjal Shah, Hippocratic AI
• Vivek Natarajan, Google Health
• Vincent Liu, Kaiser Permanente
• Mark Sendak, Duke Health
• Joshua Denny, NIH
• Chris Lunt, Critical Path Institute
• Ida Sim, UCSF
• Travis Zack, OpenEvidence
• Danton Char, Stanford
• Brian Anderson, CHAI
• Julia Adler-Milstein, UCSF

The Year in Clinical AI
What shipped, what failed, and what should change next.

AI Agents in Clinical Workflows
Ambient documentation, patient-facing agents, and operational agents in real care.

Foundation Models in Healthcare
What makes a clinical foundation model useful, deployable, and trusted.

AI, Human Cohorts, Trials & RWE
Turning clinical data into stronger trials and decision-grade evidence.

AI Safety, Governance & Evaluation
Avoiding harm at scale when algorithms move into production.

AI + Pharmacogenomics
How decision support and drug-response data can make each other more useful.

PMWC 2027 Silicon Valley - Program

PMWC Hall of Impact

Previous Speakers Include

Nobel laureates, technology founders, regulators, CEOs and scientific pioneers who have taken the PMWC stage.

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