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Jason Fries

Assistant Professor of Biomedical Data Science and of Medicine at Stanford University

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I’m an Assistant Professor of Biomedical Data Science and of Medicine at Stanford University. My research focuses on training and evaluating foundation models for healthcare and is positioned at the intersection of computer science, medical informatics, and hospital systems. Much of my work explores using electronic health record (EHR) data to contextualize human health, leveraging longitudinal patient information to inform model development and evaluation. My work has appeared in NeurIPS, ICLR, AAAI, Nature Communications, and npj Digital Medicine.

The latest from Jason

Research

Research Paper

Scalable Approach to Medical Wearable Post-Market Surveillance

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Learn More about Scalable Approach to Medical Wearable Post-Market Surveillance
Research Paper

Red Teaming Large Language Models in Medicine: Real-World Insights on Model Behavior

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Learn More about Red Teaming Large Language Models in Medicine: Real-World Insights on Model Behavior
Research Paper

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

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Learn More about Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
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