Suhana Bedi

Suhana Bedi is a PhD candidate in Biomedical Data Science at Stanford University, advised by Nigam Shah and Sanmi Koyejo. Her research focuses on how to rigorously evaluate and safely deploy large language models in healthcare, with an emphasis on real clinical workflows and health-system implementation. She works on medical AI evaluation and EHR-integrated systems at Stanford Medicine, including MedHELM and ChatEHR. Her work has appeared in Nature Medicine, JAMA, ICLR, and NeurIPS.