About

Hello! I am an assistant professor of operations, technology and information management at Cornell University SC Johnson College of Business.

Research Interest

My research focuses on data-driven decision making with uncertainty. I am seeking to provide both methodologies and practical solutions combining tools and concepts from optimization, machine learning, and statistics. From an applications perspective, my research focuses on supply chain management and retail operations. As a part of it, I actively collaborate with industrial partners in e-commerce.

• Learning for Optimization
• Supply Chain Management
• Retail Operations
• Data-driven Prescriptive Analysis
• Distributionally Robust Optimization

Education

• Ph.D. in Industrial Engineering and Operations Research
  University of California, Berkeley (2016-2022) (Advisor: Zuo-Jun (Max) Shen)
• M.S. in Industrial Engineering and Operations Research
  University of California, Berkeley (2016-2017)
• B.S. in Mathematics and Physics
  Tsinghua University (2012-2016)

News

• The manuscript of my paper “A Learning and Optimization Framework for Personalized Product Design” (Joint work with Mengxin Wang and Zuo-Jun (Max) Shen) is available (here).
• The manuscript of my paper “Integrated Conditional Estimation-Optimization” (joint work with Paul Grigas and Zuo-Jun Shen) is updated (here).
• The End-to-End inventory management model is shortlisted as semi-finalists of Gartner Power of the Profession Supply Chain Awards 2022. The finalists and winners will be announced later. See more about this award and the paper.