Latest news

  • March. 9/10

    Hands-on Workshop on Machine Learning Applied to Medical Imaging !

    @Paris Brain Institute - Details and registration

  • Dec.

    Project Fondation UJM accepted !

    Collaboration with G. Bertrand and M. Favard and I. Redko on Machine Learning applied to Design

  • Nov. 22

    Workshop ATLAS

    Machine Learning Applied to Medical Data
    Details and program

  • Aug.

    Presentation @ISI

    Invited Paper Session organized by C. Biernacki.

  • Sept.

    I'm one of the vice-president of the SSFAM

    The French Association on Machine Learning

Short bio

I'm an Associate Professor at Telecom Saint Etienne (Université de Lyon, France). I work at Hubert Curien Laboratory in the Data Intelligence team.

You can find more information in my CV (in french) or on my LinkedIn profile.

Research interests

My main line of research is in statistical machine learning. I am particularly interested in designing unsupervised (probabilistic) learning algorithms for high-dimensional data.

My current research focus includes:

  • unsupervised learning for high-dimensional data
  • constrained probabilistic co-clustering
  • unsupervised feature selection
  • representation learning and learning-to-rank
  • document classification and recommendation systems