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The AI in Medicine PhD Track administered by the Department of Biomedical Informatics (DBMI) at Harvard Medical School is designed to confront these challenges by preparing the next generation of leaders at the intersection of artificial intelligence and medicine. The program’s mission is to train exceptional computational students, harnessing large-scale biomedical data and cutting-edge AI methods, to create new technologies and clinically impactful research that transform medicine around the world, increasing both the quality and equity of health outcomes.

This groundbreaking training program transcends traditional boundaries between fields such as statistics, computer science, bioinformatics, artificial intelligence, epidemiology, and clinical medicine, fostering interdisciplinary collaboration and innovation. Students will acquire the skills to build tools and infrastructure that improve individual and population health, addressing the needs of patients, providers, and clinical care systems alike.

Unique to our program, in partnership with the Boston area’s renowned hospitals and the Harvard-MIT Program in Health Sciences and Technology (HST), trainees will enrich their applied understanding of the challenges and opportunities for AI in the healthcare ecosystem by taking clinical coursework at Harvard Medical School and performing hospital rotations alongside medical students and other PhD trainees from Harvard and MIT.

Isaac Kohane MD, PhD and Sebastian Schneeweiss, MD, ScD
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