Selected work.

Essays on biology, AI, and medicine, exploring how a deeper understanding of living systems can lead to better ways to treat disease.

A TEDxBoston talk on how physicians who code can translate clinical insight into better AI for patient care.

An experimental compiler working toward programmable, patient-specific medicines. The goal is to let humans and AI agents describe what immune cells should recognize, remember, and do, then translate those programs into precise RNA instructions for use inside the body. Each payload would be traceable to the original therapeutic design.

An open-source toolkit that turns DNA sequencing data into evidence researchers can inspect, verify, and reproduce.

An open-source research prototype designed to become an ambient AI layer for telehealth visits, turning facial movement and voice signals into quantitative biomarkers for disease monitoring & treatment response analytics.