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Shalmali Joshi Research Publications Teaching Group Join Us!

We are the reliable Artificial Intelligence for Health and Medicine Lab.

Led by Dr. Shalmali Joshi in the Department of Biomedical Informatics (DBMI) at Columbia University in the City of New York.

Our vision is to design AI and ML systems to improve scientific inference and predictive capabilities in the biomedical sciences, discovery, and informatics, focused on challenges of generalizability, reliability, and robustness of inference and prediction. We develop methods that cut across deep learning, reinforcement learning, observational causal inference, and probabilistic modeling.

News

June 2026

FAccT Best Paper Award

Apara and Sara's paper "A pipeline for enabling path-specific causal fairness in observational health data" received a Best Paper Award at the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT). Congratulations!

June 2025

Google Research Scholar Award

Shalmali Joshi is grateful for support from the Google Research Scholar Program!

May 2025
New Preprint!

Benchmarking EHR Foundation Models

We benchmarked SOTA structured EHR foundation models on Columbia University Medical Center data. Read more about 'FoMoH' here!

We are grateful for support from