Jan Bachmann joined the Complexity Science Hub as a PhD candidate in April 2021.
He received his master’s 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 his master’s thesis he compared causal inference algorithms and applied them to music streaming data to identify hidden temporal dependencies across the listening behavior of different countries.
Currently Jan’s research interest lies in the crossing point of data science and social science. In particular, he is interested in analyzing how social biases and inequalities towards minority groups can emerge solely from the structure of social networks. He applies modern data science and network modeling techniques to large real-world and artificial social network data.
Jan is also pursuing his PhD at the Department of Network and Data Science at the Central European University (CEU).