Bio

Xi Chen is an associate professor of Technology, Operations, and Statistics at New York University Stern School of Business. He is also an affiliated professor of Computer Science and the Center for Data Science at New York University. Before joining NYU Stern, he did a postdoc training with Prof. Michael Jordan at the University of California, Berkeley. He earned his M.S. in 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 studies large-scale machine learning, stochastic optimization, high-dimensional statistics, and applications to data analytics, finance, revenue management, and recommender systems. He has published more than 30 top journal articles in machine learning, statistics, and optimization, and 30 top machine learning conference proceedings. His research contribution was recognized by the National Science Foundation CAREER Award, Forbes 30 Under 30 in Science for the ''development of new learning methods for big data analysis, with applications to business, medicine, and more,'' and inaugural ICSA outstanding young researcher award. He has also received faculty research awards from top IT companies including Adobe, Alibaba, Bloomberg, JPMorgan, Facebook, and Google. He has given nearly 100 invited seminars, including more than 40 talks at top universities, more than 40 at conferences, and more than 10 at technology companies. Please see http://people.stern.nyu.edu/xchen3/ for more information