author
Stanford University
Assistant Professor of Biomedical Data Science and of Medicine
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
Snorkel: Rapid Training Data Creation With Weak Supervision
This paper presents a flexible interface layer to write labeling functions based on experience.
Research Paper
Snorkel: Rapid Training Data Creation With Weak Supervision
This paper presents a flexible interface layer to write labeling functions based on experience.
Data Programming With DDLite: Putting Humans in a Different Part of the Loop
Introducing DDLite, an interactive development framework for data programming.
Research Paper
Data Programming With DDLite: Putting Humans in a Different Part of the Loop
Introducing DDLite, an interactive development framework for data programming.
