Location Lille, Nord-Pas-de-Calais, France Regions European Union (EU), Europe, Middle East, and Africa (EMEA) Gender Male
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Benjamin Guedj is a tenured research scientist at Inria since 2014, member of the MODAL project-team (MOdels for Data Analysis and Learning) of the Lille - Nord Europe research centre in France. He is also affiliated with the mathematics department of the University of Lille. He obtained his Ph.D. in mathematics in 2013 from UPMC (Université Pierre
& Marie Curie, France) under the supervision of Gérard Biau and Éric Moulines. Prior to that, he was a research assistant at DTU Compute (Denmark). His main line of research is in statistical machine learning, both from theoretical and algorithmic perspectives. He is primarily interested in the design, analysis and implementation of statistical machine learning methods for high dimensional problems, mainly using the PAC-Bayesian theory.
