I am now associate professor at the university of Technology of Compiègne.

My research focuses on machine learning, and more particularly supervised and unsupervised classification, from imperfect (imprecise, uncertain) information. I also work on classifier combination and data fusion issues.

I am interested in the theoretical framework of belief functions (also known as Dempster-Shafer theory) for representing and managing imprecision and uncertainty.

I am also head of the UTC Data mining and Decision Making curriculum since January 2012.