The Medical AI Bootcamp provides Harvard and Stanford students an opportunity to do cutting-edge research at the intersection of AI and medicine. Over 6 months, members receive training to work on high-impact research problems in small interdisciplinary teams.
This bootcamp is a joint effort between Harvard and Stanford led by faculty Pranav Rajpurkar and Andrew Ng.
We tackle important problems in medicine that require artificial intelligence solutions. Our projects are often in close collaboration with clinicians at both Stanford and Harvard. We work on problems across clinical domains including radiology, emergency medicine, and cardiology, and develop computer vision and natural language processing solutions.
You tackle a scoped-out research project in a small team from conception to co-authoring a manuscript. You receive mentorship from faculty in team meetings on project execution and direction. You develop knowledge of cutting-edge medical AI research in reading groups, and machine learning tools in skills building sessions.
We welcomed our first cohort this January, consisting of Harvard and Stanford undergraduate students, graduate students, and clinical trainees.
Harvard and Stanford affiliates can apply to any of the artificial intelligence, medicine, or web development specializations based on their experience. Candidates are expected to be able to dedicate 10-20 hours a week, and are able to sign up for research credits if required.
The applications for the Spring 2022 (March-August) are now open. Students can participate in the bootcamp whilst pursuing a summer internship if able to make the required time commitment.