Maximilian Kasy received his PhD in 2011 from UC Berkeley and became assistant professor at the Department of Economics at Harvard in fall 2012, after spending one year as an assistant professor at the Department of Economics at UCLA.

He works on methodological issues in the intersection of the fields of Econometrics, Labor Economics, and Public Finance. His research focuses in particular on the questions of what we can learn from data, under what assumptions, and what we need to learn from data in order to answer questions of policy relevance. These methodological questions are developed in the context of substantive topics such as urban segregation, intergenerational mobility, taxation, and the distribution of educational resources.