Scholar
Serena Yeung-Levy
Google Scholar ID: Tw2m5kUAAAAJ
Stanford University
Citations & Impact
Citations
8,988
H-index
38
i10-index
82
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in journals and conferences such as Nature Partner Journals (NPJ) Digital Medicine, ECCV, MLHC, and the New England Journal of Medicine; one of her works on tool detection and operative skill assessment in surgical videos won the Best Paper Award at the NIPS 2017 Machine Learning for Health Workshop.
Research Experience
- Worked at Facebook AI Research in 2016; Google Cloud AI in 2017; co-taught Stanford's CS231N Convolutional Neural Networks course from 2017-2019, alongside Justin Johnson and Fei-Fei Li.
Education
- Received her Ph.D. from Stanford University in 2018, advised by Fei-Fei Li and Arnold Milstein; was a TEAM Postdoctoral Fellow at Harvard University before joining Stanford faculty in 2019, hosted by Susan Murphy and John Halamka.
Background
- An Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering at Stanford University. Her research interests lie in the fields of computer vision, machine learning, and deep learning with a focus on applications to healthcare. She leads the Medical AI and Computer Vision Lab (MARVL) at Stanford and serves as Associate Director of Data Science for the Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI). Additionally, she is affiliated with the Stanford Clinical Excellence Research Center (CERC).
Co-authors