Xi Chen

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NYU Stern School of Business
TOPS Department


I am currently an Associate Professor 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.

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 School of Computer Science at Carnegie Mellon University. My doctoral dissertation was directed by the committee members: Dr. Jaime Carbonell, Dr. Tom Mitchell, Dr. Larry Wasserman, and Dr. Robert Tibshirani (from Stanford). Before that, I obtained my master of science in Industry Administration (Operations Research) from the ACO (algorithms, combinatorics and optimization) program in the Tepper School of Business at Carnegie Mellon. My master's work is advised by Prof. Manuel Blum.

Research Interests

  • Statistical Inference and Learning: Statistical inference for Online Streaming Data (based on Stochastic Optimization), Distributed Data, and High-dimensional Data.

  • Nonparametric Estimation and Shape-restricted Nonparametric Inference

  • Multi-armed Bandit and Online Decision-making with Applications to Rank Aggregation, Crowdsourcing, and Revenue Management (Dynamic Pricing and Assortment Planning)

  • Optimization: Stochastic Optimization, Robust Optimization, and Discrete Optimization with Applications to Operations Management

Recent News

  1. 11/2021, I am appointed as an AE of the Annals of Statistics

  2. 06/2021, I become an Elected Member of the International Statistical Institute (ISI).

  3. 06/2021, My paper Privacy-Preserving Dynamic Personalized Pricing with Demand Learning co-authored with David Simchi-Levi and Yining Wang is accepted by Management Science.

  4. 06/2021, My paper Asymptotically Optimal Sequential Design for Rank Aggregation co-authored with Yunxiao Chen and Xiaoou Li is accepted by the Mathematics of Operations Research.

  5. 05/2021, I am recognized by Poets & Quants as The World's Best 40 Under 40 MBA Professors.

  6. 05/2021, My paper Online Covariance Matrices Estimation of Stochastic Gradient Descent co-authored with Wanrong Zhu and Wei Biao Wu is accepted by the Journal of the American Statistical Association (Theory and Methods).

  7. 05/2021, my paper Adversarial Combinatorial Bandits with General Non-linear Reward Functions co-authored with Yanjun Han and Yining Wang is accepted by the International Conference on Machine Learning (ICML), 2021.

Selected Awards

  • Poets & Quants: The World's Best 40 Under 40 MBA Professors, 2021

  • Elected Member of the International Statistical Institute (ISI), 2021

  • ICSA Outstanding Young Researcher Award], 2019

  • Honorable Mention in INFORMS Junior Faculty Interest Group Paper Award (JFIG), 2019

  • Forbes 30 Under 30 in Science, 2017

Editorial Appointments