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Rui Gao

Assistant Professor

Department:     Information, Risk & Operations Management

Rui Gao headshot

Rui Gao is an assistant professor of IROM in the McCombs School of Business at The University of Texas at Austin. Gao’s main research studies data-driven decision making under uncertainty and prescriptive data analytics, and he teaches undergraduate courses in decision science and optimization. He currently serves as an associate editor for the journal Mathematical Programming.

He earned a Ph.D. in operations research from Georgia Institute of Technology and a B.Sc. in mathematics and applied mathematics from Xi’an Jiaotong University.

Luhao Zhang, Jincheng Yang, and Rui Gao. Apr 2024.
 Optimal Robust Policy for Feature-Based Newsvendor.
 Management Science 70(4): 2315-2329.

Jie Wang, Rui Gao, and Hongyuan Zha. Mar/Apr 2024. Reliable Off-Policy Evaluation for Reinforcement Learning. Operations Research 72(2): 699-716.

Rui Gao. Nov/Dec 2023. Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality. Operations Research 71(6): 2291-2306.

Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han. Enhancing Counterfactual Classification via Self-Training. Association for the Advancement of Artificial Intelligence, forthcoming.

Cheng Wang, Rui Gao, Wei Wei, Miadreza Shafie-khah, Tianshu Bi, and Joao P.S. Catalao. 2019. Risk-Based Distributionally Robust Optimal Gas-Power Flow with Wasserstein Distance. IEEE Transactions on Power Systems 34(3), 2190-2204.

Rui Gao, and Anton Kleywegt.  May 2023. Distributionally Robust Stochastic Optimization with Wasserstein Distance. Mathematics of Operations Research 48(2): 603-655. 53p.