I'm a senior researcher in the MAGNET (Machine learniNG in large-scale information NETworks) group at INRIA-Lille, France.
My research interests include data mining and machine learning on graph-structured data, algorithmic and statistical aspects of graph-structured data, privacy-preserving techniques and applications in biomedical domains and traffic.
Jan Ramon obtained first a master in engineering sciences and next in 2002 a PhD in computer sciences at the KU Leuven, Belgium where he worked as a post-doctoral researcher and lead an ERC starting grant until he joined the MAGNET team in INRIA, Lille, France in 2015. His research interests include data mining and machine learning, graph-structured data, algorithmic and statistical aspects, privacy-preserving techniques and applications in among others biomedical domains. His research aims to cover the full spectrum from idea to practice, leading both to specialized theoretical contributions such as in the journal of Theoretical Computer Science (TCS) and to more applied interdisciplinary contributions such as in the Proceedings of the National Academy of Sciences (PNAS). He is a member of the editorial boards of Machine Learning journal and Data Mining and Knowledge Discovery journal.