• School of Economics and Management, Tsinghua University.

  2023 – Present: Associate Professor with Tenure.

  2020 – 2023: Associate Professor.

  2017 – 2020: Assistant Professor.

  2019 – Present: Academic Director of Tsinghua-Columbia Dual Master’s Degree Program in Business Analytics.

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Theoretical and computational methodologies in dynamic programing and stochastic control, and their applications in quantitative finance, inventory management, revenue management and sports analytics.

Online learning theory and applications.

Machine learning applications in business data analytics.

Published Papers

• Learning and Optimization with Seasonal Patterns, with Ningyuan Chen and Longlin Wang.

  Operations Research, Articles in Advance. [Link]

• An Empirical Bayes Approach for Estimating Skill Models for Professional Darts Players, with Martin Haugh.

  Journal of Quantitative Analysis in Sports, 20(4), 375-404, 2024. [Link]

• Robust Inventory Management: A Cycle-Based Approach, with Yupeng Chen and Garud Iyengar.
  Manufacturing & Service Operations Management, 25(2), 581-594, 2023. [Link]

• Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game, with Martin Haugh.
  

  Informs Journal on Computing, 34(5), 2540-2551, 2022. [Link]

• A Partitioning Algorithm for Markov Decision Processes with Applications to Market Microstructure, with Ningyuan Chen and Steven Kou. 

  Management Science, 64(2), 784-803, 2018. [Link]

• Tax-Aware Dynamic Asset Allocation, with Martin Haugh and Garud Iyengar.
  

  Operations Research, 64(4), 849-866, 2016. [Link]

• Dynamic Portfolio Execution and Information Relaxations, with Martin Haugh.
  SIAM J. Financial Math, 5(1), 316-359, 2014. [Link]

Working Papers

• Component Pricing with a Bundle Size Discount, with Ningyuan Chen, Xiaobo Li and Zechao Li. [Link]

• Distributionally Robust Contextual Optimization with Contaminated Data, with Tianyu Wang.

• Key-Opinion Leaders Content Positioning at Social e-Commerce Platform, with Anran Li and Shuoguang Yang.

• A Random-Forest Approach to Preference Estimation, with Yupeng Chen.