Leading research on evaluating conversational clinical diagnostic AI (AMIE). Developing multi-agent systems for autonomous scientific discovery (Co-Scientist).

Developing and evaluating AMIE across multiple clinical evaluation studies and building simulated clinical dialogue environments.

Doctoral research on self-supervised vision-language models for medical imaging, including entropy-regularized CLIP architectures (TIER), shortcut mitigation, and conformal prediction frameworks.

Conducted research on signal processing for focal epilepsy seizure localization, prognosis of traumatic brain injury, surgical instrument tracking in video, and development of precision catheters for interventional radiology.

Harvard-MIT Health Sciences and Technology (HST). Doctoral Dissertation on Natural Language Medical Foundation Models

Focus in Biomedical Data Science

Completed immersive clinical rotations across Cardiology, Ophthalmology, Urology, Rheumatology, Neonatology, and Intensive Care Units as part of the Harvard-MIT HST medical curriculum.