Biography (CV)


I am currently an Assistant 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 the Machine Learning Department at the School of Computer Science at Carnegie Mellon University. My doctoral dissertation, entitled Learning with Sparsity: Structures, Optimization and Applications, 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.

I received NSF CAREER Award in 2019 and was featured in Forbes 30 under 30 in Science . I have also recvied several awards from leading technology companies and Simons Foundation, including the Bloomberg Data Science Grant, Alibaba Innovation Research Award, Adobe Data Science Research Award, Google Faculty Research Award, Simons-Berkeley Research Fellowship.

Research Interests (Google Scholar)

  • Statistical Inference for Big Data: Inference for Online Data (using Stochastic Gradient Descent), Distributed Data, and High-dimensional Data.
  • Nonparametric Estimation and Shape-restricted Estimation
  • Sequential Analysis and Multi-armed Bandit Learning with Applications to Rank Aggregation, Crowdsourcing, and Revenue Management.
  • Optimization: Online Stochastic Optimization, Robust Optimization, and Discrete Optimization with Applications to Optimal Network Design in Process Flexibility
  • Please see my publications or Google Scholar profile for more details

Please note:

  • Unfortunately, I am unable to respond to most inquiries regarding openings for Ph.D. positions in my group (unless you have a strong research record with top publications in machine learning conferences or statistics journals, I might provide you some suggestions for applications). In general, admissions to NYU Stern are handled at a group level committee, not by me.
  • I do not have any research assistant opening nor summer visiting position for undergraduate or master students.
  • Short-term potential visitors (Ph.D. students or faculty) are welcome to contact me. But I usually do not have long-term (e.g., a semeseter or longer) visiting position for outside Ph.D. students.

(c) 2017 Xi Chen. Design by FCT