Florian is a tenured researcher and lecturer at the chair of Computational Social Sciences and Humanities at RWTH Aachen University.  In his research, he aims to develop novel algorithms for data analysis and machine learning and to apply them to address research questions from the social sciences and humanities.

Florian received his PhD from the University of Wuerzburg in 2014. His dissertation “Novel Techniques for Efficient and Effective Subgroup Discovery” was supervised by Prof. F. Puppe (Artificial Intelligence and Applied Computer Science). Lateron, he did his postdoc (2015-2017) in the Data Science team of GESIS – the Leibniz Institute for the Social Sciences in Cologne. During this time, he also was teaching courses at the University of Koblenz-Landau.

Main Research Interests include:

  • Pattern Mining (especially Subgroup Discovery and Exceptional Model Mining)
  • Mining the Social Web
  • Interpretable models
  • Analysis of sequential data
  • Efficient analysis of large databases
  • Data Mining tools

Awards:

  • Best PhD in Computer Science at the University of Würzburg (2014)
  • Dissertation Award of the “Unterfränkische Gedenkjahrstiftung für Wissenschaft”
  • Best paper on knowledge discovery at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013):
    Lemmerich, F.; Becker, M. & Puppe, F.: “Difference-Based Estimates for Generalization-Aware Subgroup Discovery.”
  • Dissertation award of the German Society for Computer Science (nominee)