I am an Assistant Professor of “Data Science in Economics” at the School of Business and Economics of the University of Tübingen.

My research interests are at the intersection of causal inference and machine learning to answer questions in empirical, mostly labor, economics. In particular, I am interested in the identification, interpretation and estimation of average and heterogeneous treatment effects as well as in policy learning. See my research section or Google Scholar for more details and follow me on Bluesky for news.

You find my teaching material on causal machine learning methods for policy evaluation/learning in the teaching section.