Pranav Rajpurkar, PhD

Pranav Rajpurkar is driven by a fundamental passion for building reliable artificial intelligence (AI) technologies for biomedical decision making. His lab approaches biomedical problems with a computational lens, developing AI algorithms, datasets, and interfaces that cut across computer vision, natural language processing, and structured health data. He has collaborated with clinicians across medical specialties, including radiology, cardiology, and pathology, to make some of the first demonstrations of expert-level deep learning algorithms and their effects on clinician decision making. Previously, Dr. Rajpurkar received his B.S., M.S., and Ph.D. degrees, all in Computer Science from Stanford University.

His lab’s current research directions include algorithm development for limited labeled data settings, high-quality dataset curation at scale, and the design of effective clinician-AI collaboration setups.

DBMI Research Areas

• Artificial intelligence
• Biomedical Discovery Infrastructure
• Clinical Decision Making

Courses

• Medical AI Bootcamp

In the News

• 5 Questions with a Medical AI Expert (Harvard Medicine, Autumn 2022)
• As AI grows in medical image analysis, concern about building trust with doctors grows too (STAT, Oct. 20, 2022)