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. I am 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.

For more information, please see his homepage https://neumannstefan.com/.