Tianyu Wang

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Email: tw2837@columbia.edu
[Curriculum Vitae][Linkedln]

To be uncertain is uncomfortable, but to be certain is ridiculous. -- Goethe

  at Bear Mountain, NY, USA (Nov 1, 2021)

About me

I am a second-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 stochastic optimization and machine learning. I develop methods for data-driven optimization problems with performance guarantee. I am also interested in real-world problems arising from operations to make efficient decisions under uncertain environment.


  • Ph.D. in Operations Research, Columbia University, Aug. 2021 - Present

  • M.S. in Operations Research, Columbia University, Aug. 2021 - Jun. 2022

  • B.S. in Pure and Applied Mathematics, Tsinghua University, Aug. 2018 - Jun. 2021

  • B.E. in Information Management and Information Systems, Tsinghua University, Aug. 2017 - Jun. 2021

  • Exchange Program, National University of Singapore, Jul. 2019 - Dec. 2019

Research Interests

  • Online and Offline Data-Driven Decisions (Methodology): robust models with and without distribution shift, sequential decision making, off-policy estimation and learning.

  • Trustworthy Machine Learning (Application): robustness, fairness, causality and their interplay in real operations problems.