Yuhang Wu CV

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I am a third-year PhD student in the Decision, Risk, and Operations (DRO) division at Columbia Business School, working with Prof. Assaf Zeevi and Prof. Kaizheng Wang (Columbia IEOR). I am broadly interested in AI and Operations Research (OR), with a focus on sequential decision making under uncertainty and digital twin simulation. Prior to joining the PhD program at DRO, I received my B.A. in Mathematics and Statistics also from Columbia University.


Contact: yuhang.wu@columbia.edu

News

Nov 26, 2025 New paper “E-GEO: A Testbed for Generative Engine Optimization in E-Commerce” posted on arXiv.
Jun 02, 2025 Paper “Performance of LLMs on Stochastic Modeling Operations Research Problems: From Theory to Practice” accepted at Winter Simulation Conference (WSC), 2025.
May 01, 2025 Paper “Uncertainty Quantification for LLM-Based Survey Simulations” accepted at International Conference on Machine Learning (ICML), 2025.

Selected Publications

* Author names are ordered alphabetically

  1. AI & OR
    Puneet S. Bagga, Vivek F. Farias, Tamar Korkotashvili, and 2 more authors
    arXiv:2511.20867, 2025
  2. Digital Twin
    Chengpiao Huang*, Yuhang Wu*, and Kaizheng Wang
    arXiv:2502.17773, 2025
    Short version "Uncertainty Quantification for LLM-Based Survey Simulations" appeared at International Conference on Machine Learning (ICML), 2025