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Xi Chen

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Email:

xc13(AT)stern(DOT)nyu(DOT)edu

Address:

NYU Stern School of Business
TOPS Department

Biography

I am currently a Full Professor and Andre Meyer Faculty Fellow at the Department of Technology, Operations, and Statistics at Stern School of Business at New York University. I also hold affiliated faculty positions at Courant Institute of Mathematical Sciences and Center for Data Science.

In 2021–2023, I contributed two years as a principal scientist at Amazon Ads, where I spearheaded a science team to advance forecasting and delivery systems in digital advertising. I also collaborated with industry leaders including Google, Meta, Adobe, JP Morgan, and Bloomberg, addressing diverse technical and business challenges while earning prestigious faculty research awards from each organization.

Before joining NYU Stern, I did a postdoc with Professor Michael I. Jordan at the University of California, Berkeley. I earned my doctoral degree from Carnegie Mellon University. Before that, I obtained my master of science in Industry Administration (Operations Research) from the ACO program in the Tepper School of Business at Carnegie Mellon.

See a more detailed bio on my NYU Stern homepage.

Research Interests

  • Statistical Inference and Optimization: Statistical inference for Online Streaming Data, Large-scale Distributed Data, and High-dimensional Data, Stochastic Optimization and Distributionally Robust Optimization.

  • Online Learning and Trustworthy Learning for Operations & E-commerce: Multi-armed Bandit, Dynamic Pricing, Assortment Optimization for Recommender System, Digital Advertising

  • Blockchain, Web3, and Quant Research: Mechanism Design in Blockchain, Decentralized Finance, and Quantitative Finance

Recent News

  1. 05/2025 My first paper on LLM post-training, ComPO: Preference Alignment via Comparison Oracles, was posted.

  2. 04/2025 I was elected as a Fellow of the American Statistical Association (ASA).

  3. 04/2025 My research paper, Context-Based Dynamic Pricing with Online Clustering, won the 2025 POM Michael Pinedo Best Retail Operations and Revenue Management Paper Award.

  4. 12/2024 My research paper, Bayesian-Nash-Incentive-Compatible Mechanism for Blockchain Transaction Fee Allocation, was accepted by Operations Research. My very first paper at OR about the Blockchain.

  5. 11/2024 I am honored to be appointed as the Associate Editor of Journal of the American Statistical Association (Theory and Methods).

  6. 05/2024 My forthcoming book, Web3: Blockchain, the New Economy, and the Self-Sovereign Internet, co-authored with a Harvard Business professor, a Yale Computer Science professor, and professional experts, will be published by Cambridge University Press this fall.

  7. 05/2024 My research paper, Proof-of-Learning with Incentive Security, proposes an new method to verify learning computations. This approach serves as a Proof-of-Useful-Work alternative to replace hash computations in blockchain mining.

  8. 05/2024 I was elected as a Fellow of the Institute of Mathematical Statistics (IMS).

  9. 11/2023 I am honored to be appointed as the Area Editor of Operations Research for the Department of Machine Learning and Data Science.

  10. 08/2023 I am honored to be promoted as the Full Professor at NYU Stern School of Business.

  11. 12/2022 My paper Bayesian-Nash-Incentive-Compatible Mechanism for Blockchain Transaction Fee Allocation won the Best Paper Award at NeurIPS Workshop on Decentralization and Trustworthy Machine Learning in Web3.

  12. 09/2022, My book The Elements of Joint Learning and Optimization in Operations Management co-edited with Stefanus Jasin and Cong Shi have been published in Springer Series in Supply Chain Management.

  13. 06/2022, I am honored to be appointed as Andre Meyer Faculty Fellow by NYU Stern School of Business.

  14. 01/2022, I am elected to COPSS Leadership Academy.

  15. 11/2021, I am appointed as an AE of the Annals of Statistics.

  16. 06/2021, I become an Elected Member of the International Statistical Institute (ISI).

  17. 09/2017, I was listed on the Forbes 30 Under 30 in North America

Editorial Appointments