Associate 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.