Jilles Vreeken
home
Jilles Vreeken
Jilles Vreeken

Jilles Vreeken is tenured faculty at the CISPA Helmholtz Center on Information Security, where he leads the Exploratory Data Analysis group. In addition, he is a Senior Researcher at the Max Planck Institute for Informatics.

His research interests include data mining, machine learning, and causal inference. He is particularly interested in developing well-founded theory and efficient methods for extracting informative models and characteristic patterns from large data, and putting these to good use. He has authored 3 book chapters and over 75 conference and journal papers. He received three best paper awards, the ACM SIGKDD 2010 Doctoral Dissertation Runner-Up Award, and the IEEE ICDM 2018 Tao Li Award.

Currently, he is panel chair for SIAM SDM 2019, and a member of the steering committee of ECML PKDD, while prior he was tutorial chair for SIAM SDM 2017, program co-chair for ECML PKDD 2016, publicity co-chair for IUI 2015, sponsorship co-chair for ECML PKDD 2014, and workshop co-chair of IEEE ICDM 2012. He co-organised nine workshops and co-lectured five tutorials. He is a member of the editorial board of Data Mining and Knowledge Discovery (DAMI) and of the ECML PKDD Journal Track Guest Editorial Board, in addition he regularly reviews for TKDD, KAIS, JMLR, as well as for KDD, ICDM, NIPS, ICML, SDM, and ECML PKDD.

He obtained his M.Sc. in Computer Science from Universiteit Utrecht, the Netherlands. He pursued his Ph.D. at the same university under supervision of Arno Siebes, and defended his thesis 'Making Pattern Mining Useful' in 2009. Between 2009 and 2013 he was a post-doctoral researcher at the University of Antwerp, supported by a Post-doctoral Fellowship of the Research Foundation Flanders (FWO). Before joining CISPA in 2018, he was the leader (W2) of the Independent Research Group on Exploratory Data Analysis at the DFG Cluster of Excellence on Multimodal Computing and Interaction (MMCI) at Saarland University.