Hansheng Jiang (she/her)
Assistant Professor
Rotman School of Management
University of Toronto
Contact
Welcome!
I am Hansheng, an Assistant Professor of Operations Management and Statistics at the Joseph L. Rotman School of Management, University of Toronto, and an affiliated faculty member at the School of Cities.
My research broadly explores AI-powered and data-driven decision-making under uncertainty, with a keen interest in revenue management, sustainable operations, transportation and logistics.
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. During my doctoral studies, I gained industry experience as a Research Scientist at Amazon's Supply Chain Optimization Technologies team and Alibaba Cloud. I received my B.S. in Mathematics from USTC.
News
- 06/2025 Paper Multi-Product Dynamic Pricing with Reference Effects is accepted to M&SOM.
- 04/2025 Paper Out-of-distribution Robust Optimization is accepted to UAI 2025.
- 02/2025 Talks at INFORMS Computing Society Conference 2025 and PKU Guanghua.
- 01/2025 Delighted to host Andrea Li (Too Good To Go) for a seminar at Rotman.
- 12/2024 Glad to serve in the 2025 Franz Edelman Award Committee.
- 11/2024 Had a great time attending the Economics of QIT workshop at USC.
- 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 (Joint with Qiang Sun)!
- 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!
To Students
I'm looking to work with highly motivated students. Feel free to contact me via email if you think our interests overlap.
Prospective PhD students are encouraged to apply to our Rotman OMS PhD program!