AI Researcher Pioneers Medical Decision Support Systems Through Algorithm Development and Education
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Pranav Rajpurkar is a distinguished AI researcher and Assistant Professor at Harvard University's Department of Biomedical Informatics, where he leads groundbreaking research in medical AI applications. With degrees from Stanford University, including a Ph.D. co-advised by Andrew Ng and Percy Liang, he has made significant contributions to developing expert-level deep learning algorithms for medical imaging across specialties including radiology, cardiology, and pathology. As an educator, he created and instructed the popular Coursera AI for Medicine Specialization, which has enrolled over 24,000 students. His work extends beyond academia through co-hosting The AI Health Podcast and co-editing the Doctor Penguin AI Health Newsletter. Through his research lab at Harvard, he focuses on developing AI algorithms, datasets, and interfaces that bridge computer vision, natural language processing, and structured health data, while exploring effective clinician-AI collaboration models