Antoine Dedieu

Antoine earned his MS from the Massachusetts Institute of Technology Operations Research Center where he was advised by Rahul Mazumder. His MS thesis lies at the intersection of Machine Learning, Optimization and Statistics, building new algorithms to compute sparse interpretable estimators, and understanding their statistical performance.

Prior to joining MIT, he received an MS in Applied Mathematics from Ecole Polytechnique, and gained two international experiences in China and Chile.

When he is not traveling the world, he enjoys cinema, reading, and playing (and watching) sports.