About Me

Hi! I am an Assistant Professor of Operations Management and Statistics at the University of Toronto's Rotman School of Management.

My research mainly focuses on developing methodologies and algorithms for data-driven decision-making, where I utilize a rich array of techniques from statistics, optimization, and machine learning. The motivation for my research comes from real-world applications across various sectors, including retailing platforms, on-demand shared mobility systems, supply chain management, as well as innovating within emerging platforms and service systems. My research goal is to contribute robust and practical solutions to these dynamic and evolving fields.

I obtained my PhD from the Department of Industrial Engineering and Operations Research (IEOR) at the University of California, Berkeley, where I was fortunate to be advised by Zuo-Jun (Max) Shen and Aditya Guntuboyina (Department of Statistics). During my PhD, I also spent time at Amazon Supply Chain Optimization Technologies (SCOT) and Alibaba Cloud. Prior to Berkeley, I obtained my BS in Mathematics from the University of Science and Technology of China.


  • Apr 2024 New version of our Learning While Repositioning paper is posted.
  • Apr 2024 I am excited and grateful to receive the NSERC Discovery Grant!
  • Feb 2024 Congratulations to my student mentee Zeqi Ye for being admitted to the Northwestern IEMS PhD Program!
  • Jan 2024 Paper on Smoothness Adaptive Dynamic Pricing is accepted to AISTATS 2024.
  • Jan 2024 Teaching RSM270 Operations Management in Winter 2024.
  • Dec 2023 Approved funding from the CANSSI Ontario Multidisciplinary Doctoral (Mdoc) Training Program (Joint with Qiang Sun)!
  • Dec 2023 Talks at USTC School of Management and POMS-HK.
  • Oct 2023 I will be at INFORMS Annual Meeting 2023 at Phoenix (related sessions).
  • Aug 2023 Invited talks at MOPTA 2023 ("Potential Energy Advantage of Quantum Economy") and YinzOR 2023 ("Intertemporal Pricing in the Presence of Consumer Behaviors").
  • June 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.
  • Jan 2023 Excited to teach as an instructor for the first time! Welcome to STAT 153: Introduction to Time Series.
  • Dec 2022 New manuscript "Learning While Repositioning in On-Demand Vehicle Sharing Networks" is posted on SSRN!
  • Oct 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!
  • Aug 2022 I won a prize in the flash talk competition at YinzOR 2022 held by Carnegie Mellon University!

Prospective Students

I am always looking forward to working with self-motivated students. If you think our interests might overlap, please feel free to send me an email.