Akshay Chaudhari

Dr. Chaudhari is an Assistant Professor of Radiology and (by courtesy) Biomedical Data Science. Dr. Chaudhari leads the Machine Intelligence in Medical Imaging research group at Stanford focusing on improving both the acquisition and analysis of medical images and related healthcare data. His group develops new self-supervised and representation learning techniques for multi-modal deep learning for healthcare using vision, language, and medical records data. Dr. Chaudhari’s research is funded by the NIH, ARPA-H, and several industry partners. He has won the W.S. Moore Young Investigator Award and the Junior Fellow Award from the International Society for Magnetic Resonance in Medicine, and is inducted into the Academy of Radiology’s Council of Early Career Investigators in Imaging program. He also serves as the Co-Director of the Stanford Radiology AI Development and Evaluation Laboratory as well as the Associate Director of Research and Education at the Stanford AIMI Center.