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Kevin Tian is an Assistant Professor in the Department of Computer Science at the University of Texas at Austin. He completed his Ph.D. in Computer Science at Stanford University, where he was advised by Aaron Sidford, from 2016 to 2022. Prior to joining UT Austin, Kevin was a postdoctoral researcher at Microsoft Research in Redmond during the 2022-2023 academic year. His research interests lie in fundamental algorithmic problems in modern data science, focusing on continuous optimization and high-dimensional statistics. Kevin has received multiple accolades, including the Simons-Berkeley VMware Research Fellowship in 2021 and the Google Ph.D. Fellowship. He has presented his work at esteemed conferences, including the Neural Information Processing Systems, and has been invited for publication in significant journals such as the SICOMP Special Issue. His academic journey is supported by a background in mathematics and computer science, evidenced by his B.S. from the Massachusetts Institute of Technology (MIT).
Microsoft Research • Redmond, WA
Conducted research in algorithmic design and data science.
University of Texas at Austin • Austin, TX
Teaching and conducting research in algorithms and data science.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.