About Me

I am a final-year Ph.D. candidate in the Department of Industrial Engineering and Operations Research at the University of California, Berkeley, where I am advised by Zuo-Jun (Max) Shen and Aditya Guntuboyina (Department of Statistics). I have industry experience at Amazon Supply Chain Optimization Technologies and Alibaba. Prior to joining Berkeley, I received my B.S. degree in Mathematics from the University of Science and Technology of China in 2017.

I will be joining the Rotman School of Management at the University of Toronto as an Assistant Professor in the Operations Management and Statistics area in Summer 2023!

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Research Interests

I am interested in developing methodologies and algorithms for sequential and data-driven decision-making. I have focused on bridging theory and practice in modeling and analysis, and I leverage an eclectic set of techniques from statistics, optimization, and machine learning to address real-world problems in retailing platforms, on-demand shared mobility systems, and supply chain management.

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Updates

• 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!