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 data-driven decision making, with applications in trustworthy machine learning, supply chain management, and pharmaceutical manufacturing. Through the lens of optimization, stochastic simulation, and statistical inference, I aim to develop: (i) fundamental tools and benchmarks to assess the performance of data-driven decisions; (ii) efficient algorithms that are practical, scalable and adapted to the problem structure.