Statistical methods, machine learning methods, public policy, economics, econometrics, optimization


A CIRANO Associate Researcher since 2019, Guillaume A. Pouliot is Assistant Professor at the Harris School of Public Policy at the University of Chicago.

Holding a Ph.D. in Economics from Harvard University, his current research focuses on developing statistical methods for nonstandard problems in public policy and economics, as well as the extension of machine learning methods for applications in public policy, and problems at the interface of econometrics and optimization.

[ - ]
[ + ]


As a speaker