Stefan’s research focus is on algorithms for data science and social network analysis. In particular, he is interested in the following topics:

Foundations of data science: He develops practical data science algorithms with provable guarantees. He is particularly interested in the beyond worst-case analysis of algorithms.

Social network analysis: He studies how interventions, such as timeline algorithms, influence the polarization and the disagreement in (online) social networks.

He is also generally interested in graph algorithms and (dynamic) data structures.