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Matias D. Cattaneo is a Professor in Operations Research and Financial Engineering at Princeton University. His research spans mathematical statistics, econometrics, data science, and decision science, with a particular interest in program evaluation and causal inference. His work is interdisciplinary, motivated by quantitative problems in the social, behavioral, and biomedical sciences, extending treatment effect and policy evaluation. He focuses on applied economics, machine learning, empirical finance, and decision theory. A significant part of his research agenda has been the development of novel semi-parametric and non-parametric inference procedures that demonstrate superior robustness properties. He currently serves on the editorial boards of several prestigious journals, including the Journal of the American Statistical Association and Econometrica. Matias earned his Ph.D. in Economics in 2008 and M.A. in Statistics in 2005 from the University of California at Berkeley. He also completed an M.A. in Economics at Universidad Torcuato Di Tella in 2003 and a B.A. in Economics from Universidad de Buenos Aires in 2000. Before joining Princeton in 2019, he was a faculty member in the departments of economics and statistics at the University of Michigan for eleven years. Matias was born and raised in Buenos Aires, Argentina, and is married with two daughters.
Princeton University • Princeton, NJ
Professor in Operations Research and Financial Engineering.
University of Michigan • Ann Arbor, MI
Faculty member in the departments of economics and statistics.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.