Speaker Profile
AI Researcher, Google Health
Biography
Vivek Natarajan is a Research Scientist at Google DeepMind leading research at the intersection of AI, science and medicine. In particular, Vivek was the lead researcher behind Med-PaLM and Med-PaLM 2, which were the first AI systems to obtain passing and expert level scores on US Medical License exam questions respectively. Med-PaLM was published in Nature in 2023 and has been featured in The Scientific American, Wall Street Journal, The Economist, STAT News, CNBC, Forbes, New Scientist among others. Vivek co-leads Project AMIE with Dr Alan Karthikesalingam at Google, a research effort aiming to build and democratize conversational, multimodal, diagnostic and empathetic medical super intelligence. Two papers from Project AMIE were recently published in Nature with the AI system surpassing primary care physicians in performing medical consultations in simulated settings. Finally, Vivek recently co-led the development of the AI co-scientist, a system designed to be a virtual AI collaborator for scientists. Outside of Google, Vivek is also part of the faculty for executive education at Harvard T.H. Chan School of Public Health in a part-time capacity.
Session Abstract – PMWC 2027 Silicon Valley
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 Hall of Impact
Previous Speakers Include
Nobel laureates, technology founders, regulators, CEOs and scientific pioneers who have taken the PMWC stage.
