Scientist. Founder. Professor.

Co-founder of a2z Radiology AI.
Assistant Professor and PI of Research Lab at Harvard.

I build AI systems that think and communicate like doctors, with the goal of making expert medical care accessible to all. As an Assistant Professor of Biomedical Informatics at Harvard Medical School, I direct a research lab pioneering multi-modal medical data integration and understanding in medicine. I am also Co-Founder and Scientist at a2z Radiology AI, a company developing a comprehensive diagnostic imaging system capable of analyzing hundreds of clinical findings in each scan—far beyond the narrow scope of current tools. By covering the full breadth of radiology, we aim to ensure that no disease goes undetected.

My journey in AI began early - I started research as a first-year undergraduate at Stanford in 2012 working on autonomous driving, and then was fortunate to be accepted into Stanford's Computer Science PhD program at 19, where I worked with pioneers in artificial intelligence, Andrew Ng and Percy Liang. During my doctoral studies, I focused on developing AI systems that could match and complement physician-level expertise across critical medical tasks. This work led to several breakthrough papers, including systems that could detect arrhythmias from ECGs and interpret chest X-rays at the level of experienced doctors. The impact of this research opened doors early in my career, and at 25, I was selected to join Harvard Medical School as an Assistant Professor of Biomedical Informatics. In 2024, I co-founded a2z Radiology AI, driven by the conviction that true radiologist-level AI could be unlocked and would redefine the future of disease detection.

I have published more than 100 academic articles garnering more than 35,000 citations, including in Nature, NEJM, and Nature Medicine. I have written in the The New York Times, and been featured in CBS, NPR, and Financial Times. I was named to MIT Tech Review’s Innovator Under 35 (2023), Forbes 30 Under 30 in Science (2022), and Nature Medicine’s Early-career Researchers To Watch (2022). I’ve developed courses in AI and Medicine that have reached more than 84,000 students, including through Coursera and Harvard.

Recent: See my guest essay in The New York Times on the failures of doctor-AI collaboration