Tianyu Wang

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Email: tw2837 [AT] columbia [DOT] edu
Resume (Updated on Jun 2026)
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To be uncertain is uncomfortable, but to be certain is ridiculous. -- Goethe

About Me

I completed my PhD in Operations Research at Columbia University, where I was fortunate to be co-advised by Professors Garud Iyengar and Henry Lam. Previously, I obtained a B.E. in Information Systems and B.S. in Mathematics both from Tsinghua University in 2021.

I will join The Chinese University of Hong Kong (CUHK) as an Assistant Professor in the Department of Systems Engineering and Engineering Management (SEEM) in Fall 2027. During the 2026-2027 acadamic year, I will be a postdoctoral fellow at Harvard Business School AI Institute.

My research studies the statistical and computational foundations for evaluating and designing data-driven decision making.

  • Methodologies: optimization, machine learning, inference and stochastic simulation;

  • Applications: trustworthy machine learning, supply chain management, and healthcare operations.

Practically, I have been working with several companies and institutions, including the Fire Department of the City of New York and Mount Sinai to help design and implement data-driven optimization models in real operations. In Summer 2023, I spent a great time working as a research scientist intern at Supply Chain Optimization Technologies Team in Amazon on uncertainty attribution of inventory production control simulation systems.