Tianyu Wang
 |
To be uncertain is uncomfortable, but to be certain is ridiculous. -- Goethe |
at Seattle, WA, USA (July 1, 2023)
About me
I am a rising fifth-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 studies the foundations of machine learning for stochastic optimization. Through the lens of optimization, stochastic simulation, and statistical inference, I aim to develop: (i) fundamental tools in evaluation and selection of data-driven optimization models; (ii) efficient data integration models with performance guarantees, with applications in trustworthy machine learning, supply chain management, and pharmaceutical manufacturing.