Philippe Rigollet

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.

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