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Tengyu Ma is an Assistant Professor at Stanford University, specializing in Computer Science. He has received several prestigious awards, including the Sloan Research Fellowship from the Alfred P. Sloan Foundation in 2021, the NIPS Student Paper Award in 2016, the COLT Paper Award in 2018, and an Honorable Mention for the ACM Doctoral Dissertation Award in 2018. His research focuses on online learning and statistical learning theory, particularly in the context of shifting domains. Ma has advised numerous doctoral and master's students, guiding their research and dissertations. He is also actively involved in teaching a variety of courses, including CS 229 and STATS 229. His contributions to the field are recognized through his active participation in various research communities and conferences, and he continues to publish impactful research in leading venues.
Stanford University • Stanford, CA
Teaching and conducting research in Computer Science, focusing on online learning and statistical learning theory.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.