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Sang Michael Xie Image could not be loaded.

I am a Computer Science Ph.D. student studying Machine Learning at Stanford University, advised by Percy Liang and Tengyu Ma.
I was a Student Researcher at Google Brain, working with Adams Wei Yu, Hieu Pham, and Quoc Le. I am grateful to be a FY2019 NDSEG Fellow. Previously, I received my B.S. with departmental honors and M.S. in Computer Science from Stanford in 2017, where I am grateful to have worked with Stefano Ermon on machine learning methods for sustainability, particularly in poverty mapping using satellite imagery.

My research interests are in generalization to unseen inputs and tasks (robustness to distribution shifts, extrapolation), learning with unlabeled data and limited supervision (transfer learning, semi-supervised learning, unsupervised learning), and applications/motivations from real-world robustness problems and NLP.

[Music] Email: xie AT


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