Tianyu Wang
 |
To be uncertain is uncomfortable, but to be certain is ridiculous. -- Goethe |
at San Francisco, CA, USA (June 1, 2025)
About me
I am a fourth-year PhD student in the Department of Industrial Engineering and Operations Research at Columbia University, where I am co-advised by Professor Garud Iyengar and Henry Lam. I also work closely with Hongseok Namkoong. Previously, I obtained a B.E. in Information Systems and B.S. in Mathematics both from Tsinghua University in 2021.
My research lies at the interface of statistics, stochastic optimization and machine learning. My recent research focuses on understanding the performance of data-driven optimization algorithms and their limits under heterogeneous data, with applications in trustworthy machine learning, supply chain management, continuous manufacturing.