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Expertise

Developing statistical methods for nonstandard problems in public policy and economics, Extension of machine learning methods for applications in public policy, Problems at the interface of econometrics and optimization

Biography

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