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.
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
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From Vacant to Vibrant: Optimizing Retail Mix with Mobility Data
with Hansheng Jiang, Jingwei Zhang, and Calvin Brown (the NYC Department of Small Business Services)
Working in Progress
■ Accepted for presentation at POMS 2026, INFORMS 2026
■ 2025 Rotman TD MDAL Research Grant -
Post-Estimation Adjustments in Data-Driven Decision-Making with Applications in Pricing
with Micheal Albert, Max Biggs, and Ningyuan Chen
Submitted to Management Science
■ Accepted for presentation at POMS 2026, CORS 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 in Manufacturing & Service Operations Management