Send email Copy Email Address

Email

Address

Stuhlsatzenhaus 5
66123 Saarbrücken (Germany)

Awards

Short Bio

Jilles Vreeken is tenured faculty at the CISPA Helmholtz Center for Information Security, where he leads the Exploratory Data Analysis group. In addition, he is an Honorary Professor at Saarland University. His research interests include causal inference, machine learning, and data mining. He is particularly interested in developing well-founded theory and efficient methods for unsupervised learning of informative and ideally causal models from data. He has authored 3 book chapters and over 110 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.

He obtained his Ph.D. in Computer Science in 2009 from Universiteit Utrecht. 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. Between 2013 and 2022 he was a Senior Researcher at the Max Planck Institute for Informatics.

CV: Last four stations

2018 - now
Faculty (Tenured, W3) at CISPA Helmholtz Center for Information Security
2013 - now
Senior Researcher at the Max Planck Institute for Informatics, Germany
2013 – 2022
Senior Researcher at the Max Planck Institute for Informatics, Germany
2009 - 2013
Postdoc at Universiteit Antwerpen, Belgium
2005 - 2009
PhD at Universiteit Utrecht, the Netherlands

Publications by Jilles Vreeken

Year 2019

Conference / Medium

AISTATS
AISTATSProceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)

Conference / Medium

AAAI
Proceedings of the First AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AIFirst AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI

Conference / Medium

AAAI
Proceedings of the First AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AIProceedings of the First AAAI Spring Symposium Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI

Conference / Medium

KDD
Proceedings of the ACM SIGKDD Workshop on Mining and Learning from Graphs (MLG)ACM SIGKDD Workshop on Mining and Learning from Graphs (MLG)

Conference / Medium

ICDM
Proceedings of the IEEE International Conference on Data Mining (ICDM)IEEE International Conference on Data Mining (ICDM)

Conference / Medium

ICDM
Proceedings of the IEEE International Conference on Data Mining (ICDM)IEEE International Conference on Data Mining (ICDM)

Conference / Medium

ECML PKDD
Proceedings of the ECMLPKDD Workshop on Graph Embedding and Mining (GEM)ECMLPKDD Workshop on Graph Embedding and Mining (GEM)

Conference / Medium

IJCAI
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)International Joint Conference on Artificial Intelligence (IJCAI)

Conference / Medium

ECML PKDD
Proceedings of the ECMLPKDD Workshop on Graph Embedding and Mining (GEM)ECMLPKDD Workshop on Graph Embedding and Mining (GEM)

Teaching by Jilles Vreeken