Xi Chen

Xi Chen joined New York University Stern School of Business as an Assistant Professor of Information, Operations and Management Sciences in September 2014.

>Professor Chen studies machine learning and optimization, high-dimensional statistics and operations research. He is developing parametric and non-parametric statistical methods as well as efficient optimization algorithms to address challenges in high-dimensional data analysis. He studies statistical learning and online decision making for crowdsourcing. He also investigates operations research/management problems, such as the optimal network design in process flexibility, approximate dynamic programming and revenue management.

Before joining NYU Stern, Professor Chen completed a one-year postdoc with Professor Michael Jordan at the University of California, Berkeley.

Professor Chen earned his M.S. in Industrial Administration and Operations Research from the Tepper School of Business, and his Ph.D. in Machine Learning from the School of Computer Science, both at Carnegie Mellon University. He received the Simons-Berkeley Research Fellowship and IBM Ph.D. Fellowship.

Research Interests

• Machine learning
• High-dimensional statistics
• Optimization under Uncertainty
• Operations Research

Academic Background

Ph.D., Machine Learning
Carnegie Mellon University, School of Computer Science

M.S., Industrial Administration and Operations Research
Carnegie Mellon University, Tepper School of Business