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Serena Yeung-Levy is an Assistant Professor in the Department of Biomedical Data Science, courtesy of Electrical Engineering and Computer Science at Stanford University. Her research primarily focuses on developing artificial intelligence and machine learning algorithms that enhance capabilities in biomedicine and healthcare. She possesses extensive expertise in deep learning and computer vision, having developed algorithms to analyze various types of visual data, including video captures of human behavior and medical images, such as cell microscopy images. Additionally, Dr. Yeung-Levy leads the Medical AI Computer Vision Lab at Stanford and is affiliated with the Stanford Artificial Intelligence Laboratory, Clinical Excellence Research Center, and the Center for Artificial Intelligence in Medicine and Imaging. She has also served as an investigator at the Chan Zuckerberg Biohub and was a member of the NIH Advisory Committee Director's Working Group on Artificial Intelligence. Her academic journey includes a Postdoctoral Fellowship at Harvard University following her Ph.D. from Stanford University in 2018.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.