Welcome!

I am Guan Wang, a fourth-year Ph.D. candidate 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 lies broadly in revenue management, specifically data-driven decision-making. My recent work proposes a systematic way to improve predict-then-optimize decisions through post-estimation adjustments. I also work on urban retail mix planning, using large-scale mobility data to guide how cities can fill vacant storefronts and revitalize neighborhoods.

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)
Working 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 and Setareh Farajollahzadeh
R&R at Manufacturing & Service Operations Management