Cyrille Combettes

Cyrille Combettes is a Ph.D. candidate in Machine Learning at the H. Milton Stewart School of Industrial and Systems Engineering. He received a M.Sc. in Applied Mathematics from École Centrale Paris and a Master of Business Analytics from MIT.

Cyrille's research interests lie at the intersection of optimization and machine learning. His current work focuses on designing fast and sparse methods in convex optimization. Prior to joining Georgia Tech, Cyrille has worked on multiple real-world analytics projects, including as Data Scientist Intern at BCG GAMMA and as Research Assistant at MIT's Operations Research Center.


ISyE Fields of Specialization

PhdStudent