About Me 

I am an Assistant Professor at the Department of Analytics and Operations (DAO), NUS Business School. I am also affiliated with the Institute of Operations Research and Analytics (IORA) at NUS.  With an interest in the intersection of artificial intelligence, operations management, and optimization, I tackle complex e-commerce and marketplace challenges, focusing on learning, experimentation, and demand fulfillment.

Here is a link to my [CV]. 

Research 

1. "Robust learning of consumer preferences," (with R. Caldentey and C.T. Ryan). Operations Research 70(2):918-962. [Link]

2. "Dynamic learning and market making in spread betting markets with informed bettors," (with J. R. Birge, N. B. Keskin and A. Schultz). Operations Research 69(6):1746-1766. [Link]

• • Preliminary version in the Proceedings of the 2019 ACM Conference on Economics and Computation (EC '19) [Link]

  • Featured in Chicago Booth Review [Link]

3. "Designing sparse graphs for stochastic matching with an application to middle-mile transportation management," (with R. Caldentey, L. Xin, Y. Zhong, B. Wang, and H. Hu). Forthcoming in Management Science [Link] (Updated Aug 2023)

• Preliminary version selected for MSOM Supply Chain SIG 2022 conference

4. "A Mallows-type model for preference learning from (ranked) choices," (with Y. Tang). [Link] (New)

• Preliminary version in Advances in Neural Information Processing Systems 35 (NeurIPS '22) [Link]

• Third prize, CSAMSE (Chinese Scholars Association for Management Science and Engineering) best paper award competition 2023 [link]

5.  "Nested Elimination: A simple algorithm for best-item identification from choice-based feedback," (with J. Yang). [Link to a preliminary version] 

• Preliminary version in Proceedings of the 40th International Conference on Machine Learning (ICML '23) [Link]  (New)

6. "Learning to rank under strategic manipulation in small and large markets,"  (with Q. Li and H. Chen).

• Preliminary version selected for MSOM Service SIG 2023 conference

7. "Myopic Quantal Response Policy: Thompson sampling meets behavioral economics," (with J. Ding and Y. Rong). [Link to a preliminary version] (Updated June 2023)

8. "Optimal partition for multi-type queueing systems," (with S. Cao, S. He, and Z. Wang). [Link]

Here is a link to my [Google Scholar] page.

Teaching

• Quantitative Risk Management (MS Bus. Analytics): 2020-present

• Analytics for Risk Management (BBA spec. Bus. Analytics): 2021-present