Speaker Profile
Ph.D., Machine Learning Lead, Google
Biography
Dan is a Software Engineering Manager in Google Research, where he has worked since 2019 (including one year at Verily) on AI diagnostic and generative systems for ophthalmology, radiology, pathology, and healthcare more broadly. He is a lead of the Health AI Developer Foundations (HAI-DEF) program in Google Research, which focuses on the development of MedGemma and other open multimodal foundation models for healthcare, as well as tools to enable developers to more effectively build medical AI applications.
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.
