Associate Professor, Massachusetts Institute of Technology
Philippe Rigollet works at the intersection of statistics, machine learning, and optimization, focusing primarily on the design and analysis of statistical methods for high-dimensional problems. His recent research focuses on the statistical limitations of learning under computational constraints. At the University of Paris VI, Rigollet earned a BS in statistics in 2001, a BS in applied mathematics in 2002, and a PhD in mathematical statistics in 2006 under the supervision of Alexandre Tsybakov. Prior to joining MIT in 2015, he held positions as a visiting assistant professor at the Georgia Institute of Technology, and assistant professor at Princeton University.
Geometric Methods in Optimization and Sampling , Fall 2021Visiting Scientist
Foundations of Machine Learning , Spring 2017Visiting Scientist