Damian Kozbur is an Associate Professor of Econometrics at the Department of Economics. He Joined the University of Zurich faculty in 2016. He spent one year at the ETH Centre for Law and Economics and one year at the ETH Seminar für Statistic as an ETH fellow. Damian Kozbur wrote his doctoral work in econometrics at the University of Chicago Booth School of Business in 2014.

Prof. Kozbur researches techniques and ideas for integrating economic theory and machine learning tools. His research has resulted in new methods for estimation with many weak instruments, methods for estimation in high-dimensional panel models, analysis of iterative high-dimensional estimation techniques like forward regression, and uses of clustering techniques for statistical inference with economic data. These techniques help discover new insights about economic phenomena using modern computational power and data abundance. Applications include learning properties of supply and demand curves of complicated markets, or learning cause and effect between relevant economic variables in data environments with many confounding factors. His work appears in scientific outlets including «Econometrica, Journal of Business and Economic Statistics, Journal of Econometrics, Review of Economics and Statistics».