Pranav Rajpurkar has a PhD in Computer Science from Stanford University in the Machine Learning Group co-advised by Andrew Ng and Percy Liang. His research interest is in building artificial intelligence (AI) technologies to tackle real world problems in medicine. His PhD work has led to the development of AI technologies for clinical medicine (CheXNet), and large datasets that have facilitated advancements of AI technologies in both medicine (CheXpert) and natural language processing systems (SQuAD). His long term mission is to build AI technologies that will be used routinely for diagnosis, prognosis, and treatment of patients.
Pranav received both his Bachelors and Masters Degrees in Computer Science from Stanford. His research has been published in top medical journals (Nature Medicine, PLOS Medicine) and top computer science conferences (ACL, EMNLP, AAAI), and covered by media outlets including NPR, Washington Post, and WIRED. He designed the AI for Healthcare Bootcamp at Stanford, where he has mentored 80 Stanford students on AI for Healthcare research projects. With Eric Topol, he writes Doctor Penguin, a weekly newsletter highlighting AI for Medicine research with over 2000 readers.