Serena Yeung, PhD is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research interests are in the areas of computer vision, machine learning, and deep learning, focusing on applications to healthcare. She also serves as Associate Director of Data Science for the Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI), and is affiliated with the Stanford Clinical Excellence Research Center (CERC).
Prior to joining the Stanford faculty in 2019, Serena was a Technology for Equitable and Accessible Medicine (TEAM) postdoctoral fellow at Harvard University, where she was hosted by Susan Murphy and John Halamka. Serena received her Ph.D. from Stanford University in 2018, where she was advised by Fei-Fei Li and Arnold Milstein. During her Ph.D., she also spent time at Facebook AI Research in 2016 and Google Cloud AI in 2017.
Opportunities to get involved
See news and updates for open positions. If you would like to be a postdoctoral fellow in the group, please send Serena an email including your interests and CV. If you are a Stanford PhD student interested in joining the group, please send Serena an email including your interests, CV, and transcript. If you are a current student in other degree programs at Stanford, please fill out this interest form (sign-in using your Stanford email address). For others not currently at Stanford, we apologize if we may not have the bandwidth to respond.