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Wouter Duivesteijn is an Assistant Professor in Data Mining at Eindhoven University of Technology. His research centers on Exceptional Model Mining (EMM), focusing on local pattern mining methods that seek interesting subsets of datasets that meet specific conditions. His work emphasizes interpretability, as he aims to succinctly describe subgroup definitions and convert knowledge into actionable insights. Additionally, he studies the exceptional behaviors within populations, addressing scientific challenges related to the efficient identification of subgroups and the expression of meaningful exceptional behaviors. Prior to his role at TU/e, Wouter obtained his PhD in Computer Science from Leiden University and holds MSc degrees in Applied Computing Science and Mathematical Sciences from Utrecht University. He has worked on the FORSIED project across various universities, including Ghent and Bristol, and has been involved in collaborative research at Technische Universität Dortmund. Wouter is active in organizing scientific meetings, contributing as General Chair for IDA 2018 and BNAIC 2018, and serving in various capacities for other conferences including UAI and ECML PKDD. He has authored around 50 scientific papers, showcasing his diverse areas of expertise in the field of Data Mining.
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