Tianyi Lin
Welcome to my homepage!
I am an assistant professor in the Department of Industrial Engineering and Operations Research (IEOR) at Columbia University. My research interests lie in optimization and machine learning, game theory, social and economic network, and optimal transport.
I obtained my Ph.D. in Electrical Engineering and Computer Science at UC Berkeley, where I was advised by Professor Michael I. Jordan and was associated with the Berkeley Artificial Intelligence Research (BAIR) group. From 2023 to 2024, I was a postdoctoral researcher at the Laboratory for Information & Decision Systems (LIDS) at Massachusetts Institute of Technology, working with Professor Asuman Ozdaglar. Prior to that, I received a B.S. in Mathematics from Nanjing University, a M.S. in Pure Mathematics and Statistics from University of Cambridge and a M.S. in Operations Research from UC Berkeley.
Email: tl3335 [at] columbia [dot] edu
Office: 535B Mudd Building, 500 West 120th Street, New York, NY 10027
Prospective students: I am unable to respond to most inquiries regarding openings for graduate and postdoctoral positions in my group. Admissions to Columbia University are handled at a department-wide level, not by me individually. If you have been admitted to Columbia University, please feel free to contact me.
news
| Jan 27, 2025 | The paper, Two-timescale gradient descent ascent algorithms for nonconvex minimax optimization, coauthored with Chi Jin and Michael. I. Jordan was accepted to Journal of Machine Learning Research. |
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| Mar 28, 2024 | The paper, Doubly optimal no-regret online learning in strongly monotone games with bandit feedback, coauthored with Wenjia Ba, Jiawei Zhang and Zhengyuan Zhou was accepted to Operations Research. |
| Feb 14, 2024 | The paper, Perseus: A simple and optimal high-order method for variational inequalities, coauthored with Michael. I. Jordan was accepted to Mathematical Programming (Series A). |