Bio

Matias D. Cattaneo is a Professor of Operations Research and Financial Engineering (ORFE), an Associated Faculty in the Department of Economics, and an Affiliated Faculty in the Center for Statistics and Machine Learning (CSML) at Princeton University. His research spans over mathematical statistics, econometrics, data science, and quantitative methods in the social, behavioral and biomedical sciences, with particular interest in program evaluation and causal inference. Most of his work is interdisciplinary and motivated by empirical problems in a variety of areas including treatment effect and policy evaluation, applied economics, machine learning, empirical finance, and decision theory. As part of his main research agenda, Matias has developed novel semi-/non-parametric inference procedures exhibiting demonstrably superior robustness properties with respect to tuning parameter and other implementation choices. He currently serves in the editorial boards of the Journal of the American Statistical Association, Econometrica, Operations Research, the Review of Economics and Statistics, the Journal of Business & Economic Statistics, Econometric Theory, the Econometrics Journal, and the Journal of Causal Inference.

Matias earned a Ph.D. in Economics in 2008 and an 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 at Universidad de Buenos Aires in 2000. Prior to 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. He is married to Rocio Titiunik, and they have two daughters.