Bio
Anesthesiologist and internist interested in artificial intelligence and large language models in medicine. Currently, my primary focus is on developing and evaluating applications of large language models to improve the "user experience" of patients (who spend too much time fighting the system that is tasked with healing them) and doctors (who spend too much time fighting the system that is supposed to help them heal others).
Interests:
- Benchmarking LLMs as clinical calculators
- Medical summarization by LLMs
- Agentic /tool-using language models
- GenerativeAI for Medical Education and Simulation
- Data equity in LLMs
- Novel benchmarks for clinical LLMs, including simulation
- Participatory research, open-source software
I'm a Clinical Scholar in the Dept of Anesthesiology and a Post-Doctoral Fellow in Anesthesiology / Biomedical Data Science in the lab of Nima Aghaeepour.
I completed medical school at the UC Berkeley - UCSF Joint Medical Program, followed by the Combined Internal Medicine/Anesthesiology Residency at the Stanford School of Medicine, and a fellowship in Anesthesia Informatics at the Stanford AIM Lab.
