Tianyi Lin

Welcome to my homepage!

I am an assistant professor in the Department of Industrial Engineering and Operations Research (IEOR) at Columbia University, where I am also a member of the Data Science Institute (DSI). My research interests lie in generative artificial intelligence (GenAI), optimization for 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 a member of the Berkeley Artificial Intelligence Research (BAIR). From 2023 to 2024, I was a postdoctoral scholar at Massachusetts Institute of Technology, where I was advised by Professor Asuman Ozdaglar and was a member of the Laboratory for Information & Decision Systems (LIDS). 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.