I am 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 data-driven decision-making and optimization 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
01/2025
Delighted to host Andrea Li (Too Good To Go) for a seminar at Rotman.
11/2024
Had a great time attending the Economics of QIT workshop at USC.
10/2024New 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!
05/2024New version of our Learning While Repositioning paper is posted, where we introduce an asymptotically optimal base-stock repositioning policy and an efficient online algorithm that circumvents the curse of dimensionality arising from network structure.
02/2024
Congratulations to my student mentee Zeqi Ye for being admitted to the Northwestern IEMS PhD Program!
01/2024Paper 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.
01/2023Excited to teach as an instructor for the first time! Welcome to
STAT 153:
Introduction to Time Series.
12/2022New
manuscript "Learning While Repositioning in On-Demand Vehicle Sharing Networks" is posted on SSRN!
10/2022Our
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!
08/2022I won a prize in the flash talk competition at
YinzOR 2022 held by Carnegie Mellon University!
To Students
I always look forward to working with highly motivated students. Feel free to contact me via email with your resume. Prospective PhD students are encouraged to apply to the Rotman OMS PhD program.