Benjamin Quost obtained his engineering degree (2003), PhD (2006) and Habilitation (2018) from the Université de Technologie de Compiègne (UTC, France). He holds a position of assistant professor at this institution (Department of Computer Science, Heudiasyc laboratory). His research interests focus on machine learning from imperfect (imprecise, uncertain) information, and more particularly supervised and unsupervised classification. He also worked on classifier combination and data fusion. He is interested in the theoretical framework of belief functions (or Dempster-Shafer theory) for representing and managing imprecision and uncertainty. Benjamin joined the Eindhoven University of Technology (TU/e) in 2021, for a short research stint. But he’ll be back.