Research Engineer

Jason Fries

Research Engineer, Med/BMIR

Jason Fries' research focuses on training and evaluating foundation models for healthcare, positioned at the intersection of computer science, medical informatics, and hospital systems. His work explores the use of electronic health record (EHR) data to contextualize human health, leveraging longitudinal patient information to inform model development and evaluation. His research has been published in venues such as NeurIPS, ICLR, AAAI, Nature Communications, and npj Digital Medicine.

Projects

Snorkel
A system for rapidly creating, modeling, and managing training data, focused on accelerating the development of structured or “dark” data extraction applications for domains in which large labeled training sets are not available or easy to obtain.

Stanford Affiliations

NMBL

Contact

jfries@stanford.edu

Mail Code

9040

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Publications

Ratner, A., Bach, S., Ehrenberg, H., Fries, J., Wu, S., & Ré, C. (2017). Snorkel: Rapid Training Data Creation with Weak Supervision. Proceedings of the VLDB Endowment, 11(3), 269–282. https://doi.org/10.14778/3157794.3157797
Ratner, A., Bach, S., Ehrenberg, H., Fries, J., Wu, S., & Ré, C. (2017). Snorkel: A System for Lightweight Extraction. 8th Biennial Conference on Innovative Data Systems Research (CIDR ’17).

Jason Fries

Projects

Snorkel

Stanford Affiliations

Contact

Publications