Tianyu Wang

Email: tw2837@columbia.edu Resume Google Scholar Linkedln To be uncertain is uncomfortable, but to be certain is ridiculous. -- Goethe

About Me

I am a 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 statistical and computational foundations for evaluating and designing 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.

Upcoming Talks

• Optimizer's Information Criterion: A Diagnostics Framework for Data-Driven Optimization
  INFORMS Annual Meeting, Atlanta, GA
  Date: Sunday, October 26, 2025 | Time: 5:00 PM - 5:15 PM | Room: Building B Level 2 B211
  Session: Efficiency and Robustness in Data-Driven Optimization