Prior to this, I received my M.Sc. degree in Computer Science from RWTH Aachen University where he conducted multiple projects at the Chair of Computational Social Sciences and Humanities led by Markus Strohmaier. In my master thesis I compared causal inference algorithms and applied them to music streaming data to identify hidden temporal dependencies across the listening behavior of different countries.
Currently my research interest lays in the crossing point of data science and social science. In particular, I am interested in analyzing how social biases and inequalities towards minority groups can emerge solely from the structure of social networks. To that regard I apply modern data science and network modeling techniques to large real-world and synthetic social network data.