Welcome!

I am Hansheng, an Assistant Professor of Operations Management and Statistics at the Joseph L. Rotman School of Management, University of Toronto, and a faculty affiliate at the School of Cities.

My research centers around AI-powered and data-driven decision-making under uncertainty, with a keen interest in sustainability, logistics, supply chains, and revenue management.

Before joining the University of Toronto, I earned my Ph.D. in Industrial Engineering and Operations Research from the University of California, Berkeley, advised by Max Shen and Aditya Guntuboyina. Prior to Berkeley, I received my B.S. in Mathematics from USTC.

News

• 10/2025 Talk at INFORMS Annual Meeting 2025 at Atlanta about Designing Surprise Bags for Surplus Foods.
• 07/2025 Paper Spatial Supply Repositioning with Censored Demand Data received Second Place in the CSAMSE Best Paper Award Competition.
• 07/2025 Talks at INFORMS RMP Conference at Columbia Business School, INFORMS International Meeting at Singapore, CSAMSE Annual Conference at Chengdu.
• 02/2025 Talks at INFORMS Computing Society Conference and PKU Guanghua.
• 01/2025 Delighted to host Andrea Li (Too Good To Go) for an Industry Practitioner seminar at Rotman.
• 12/2024 Glad to serve in the Franz Edelman Award Committee.
• 11/2024 Had a great time attending the Economics of QIT workshop at University of Southern California.
• 10/2024 New working paper "Designing Surprise Bags for Surplus Foods" explores optimal strategies for stores in balancing revenue, customer satisfaction, and sustainability in food waste reduction.
• 09/2024 Offering a new Rotman PhD topic course on nonparametric models and methods for data-driven decision-making in Fall 2024.
• 07/2024 I gave a 60-minute talk at Rotman Young Scholar Seminar [Video Recording].
• 06/2024 Presenting in MSOM at Minneapolis, RMP at Los Angeles, and ISMP at Montreal. See you there!
• 04/2024 I am excited and grateful to receive the NSERC Discovery Grant!
• 02/2024 Congratulations to my student mentee Zeqi Ye for being admitted to the Northwestern IEMS PhD Program!
• 01/2024 Paper on Smoothness Adaptive Dynamic Pricing is accepted to AISTATS 2024.
• 01/2024 Teaching RSM270 Operations Management in Winter 2024.
• 12/2023 Approved funding from the CANSSI Ontario Multidisciplinary Doctoral (Mdoc) Training Program.
• 12/2023 Talks at USTC School of Management and POMS-HK.
• 10/2023 I will be at INFORMS Annual Meeting 2023 at Phoenix (related sessions).
• 08/2023 Invited talks at MOPTA 2023 ("Potential Energy Advantage of Quantum Economy") and YinzOR 2023 ("Intertemporal Pricing in the Presence of Consumer Behaviors").
• 06/2023 Honored to receive the Second Place in Doctoral Dissertation Award Competition, Conference on SCM in the Post-Pandemic and AI Age. See the recording for a brief 20-min introduction.
• 01/2023 Excited to teach as an instructor for the first time! Welcome to STAT 153: Introduction to Time Series.
• 10/2022 Our paper "Quantum Computing Methods for Supply Chain Management" is published on the Proceeding of 2022 IEEE/ACM 7th Symposium on Edge Computing - Workshop on Quantum Computing!
• 08/2022 I won a prize in the flash talk competition at YinzOR 2022 held by Carnegie Mellon University!

Info

If you have overlapping interests, please feel free to contact me via email.