Medical AI Bootcamp
A Harvard-Stanford Program for closely mentored research at the intersection of AI and Medicine
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About

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.

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Setup

What we do

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.

What you learn

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.

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Team

Directors

Pranav Rajpurkar, PhD
Assistant Professor
Harvard Medical School

Andrew NG, PhD
Adjunct ProfessoR
Stanford University

Project Co-mentors

David Kim, Md, PhD
‍Assistant Professor
Stanford Medicine

Cohorts

We welcomed our first cohort this January, consisting of Harvard and Stanford undergraduate students, graduate students, and clinical trainees.

Amy Zhang

Arvind Saligrama

Brian Soetikno, MD, PhD

Elaine Liu

KaT Tian

Andrew Li, MD

Sameer Sundrani

Xinyi Wang

Apply

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.

AI Specialization

Candidates with practical machine learning knowledge, and ability to code in Python.

Medicine Specialization

Candidates with clinical knowledge at least at the level of Step 1 and some clinical rotations.

Web Specialization

Candidates with web stack expertise, covering both front-end and back-end for web applications.

Submit your application

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.

Submit Application