Welcome!

I am Guan Wang, a fifth-year PhD student in Operations Management and Statistics at the Joseph L. Rotman School of Management, University of Toronto. I am fortunate to be advised by Prof. Ningyuan Chen and Prof. Hansheng Jiang. Prior to my Ph.D., I received my M.Sc. in Biostatistics and my B.Sc. in Mathematical Applications in Economics and Finance, Statistics, and Actuarial Science from the University of Toronto.

My research focuses on data-driven revenue management, with an emphasis on estimation methods tailored to downstream optimization. My recent work develops post-estimation adjustments within a general predict-then-optimize framework to improve downstream decisions.

Papers

From Vacant to Vibrant: Optimizing Retail Mix with Mobility Data
with Hansheng Jiang, Jingwei Zhang, and Calvin Brown (NYC Department of Small Business Services)
Work in Progress
■ Invited presentation at NYC Department of City Planning
■ Accepted for presentation at INFORMS 2026, RMP 2026, POMS 2026
■ 2025 Rotman TD MDAL Research Grant
Post-Estimation Adjustments in Data-Driven Decision-Making with Applications in Pricing
with Michael Albert, Max Biggs, and Ningyuan Chen
Under major revision at Management Science
■ Finalists for the best paper award competition at CORS 2026 (open category)
■ Accepted for presentation at INFORMS 2026, MSOM 2026, RMP 2026, CORS 2026, POMS 2026, INFORMS 2025, RMP 2025
■ Accepted at ML×OR Workshop, NeurIPS 2025
Learning Consumer Preferences from Bundle Sales Data
with Ningyuan Chen, Setareh Farajollahzadeh, Qingwei Jin, and Fanni Shen
R&R at Manufacturing & Service Operations Management