Guillaume Pouliot is an Assistant Professor at Chicago Harris. His research focuses on developing statistical methods for nonstandard problems in public policy and economics, the extension of machine learning methods for applications in public policy, and problems at the interface of econometrics and optimization.

Pouliot received his PhD from Harvard University. Previously, he received his B.A. (Honors) in economics as well as his M.S. (concurrent) in statistics from the University of Chicago.

Pierre E. Jacob is a professor of statistics at ESSEC Business School, in Paris, France.

His research pertains to statistical inference and time series analysis. Jacobs develops Monte Carlo methods to compare models or to estimate latent variables. At ESSEC he teaches courses on forecasting and statistics in general.

Jacob received his PhD from Université Paris Dauphine.  Previous to joining ESSEC, Jacob was Associate Professor at the statistics department at Harvard University.

Professor Montiel received his Ph.D. in Economics from Harvard University in 2013. He spent three years (2013-2016) as Assistant Professor at New York University’s Department of Economics. Before moving to Cornell, he was an Assistant Professor at Columbia University’s Department of Economics for six years (2016-2022).

Professor Blanchet is a faculty member in the Management Science and Engineering Department at Stanford University – where he earned his Ph.D. in 2004. Prior to joining the Stanford faculty, Jose was a professor in the IEOR and Statistics Departments at Columbia University (2008-2017) and before that he was faculty member in the Statistics Department at Harvard University (2004-2008). Jose is a recipient of the 2009 Best Publication Award given by the INFORMS Applied Probability Society and of the 2010 Erlang Prize. He also received a PECASE award given by NSF in 2010.