Professor of Mathematics
Statistics, Machine Learning
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 restraints. At the Université Paris VI, Rigollet earned a B.Sc. in statistics in 2001, a B.Sc. in applied mathematics in 2002, and a PhD in mathematical statistics in 2006. He has held positions as a visiting assistant professor at the Georgia Institute of Technology and then as an assistant professor at Princeton University. He was appointed full professor at MIT in July 2020.