Latest news

  • Sept. 21

    Talk @SVH team, LJK, Grenoble

    In partnership with the Grenoble Data Institute

  • Sept.

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

    The French Association on Machine Learning

  • June 15

    Talk @AMA team seminary, LIG, Grenoble

    On Co-clustering through Optimal Transport

  • May 12

    One paper accepted to ICML 2017

    Co-clustering through Optimal Transport (ICML 2017). (arXiv:1705.06189)

  • April 11

    One paper accepted to SIGIR 2017

    KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation pdf(SIGIR 2017)

  • Jan 30

    Talk @DM2L team seminary, LIRIS, Lyon

    on Diagonal Latent Block Model for Binary Data

  • Jan 27

    Talk @YSP (Young Statisticians and Probabilists)

    Tutorial on clustering, SFDS

  • Sep 26

    Talk @AgroParisTech seminary of statistics, Paris

    On Probabilistic Co-clustering methods

Short bio

Currently, I am working as a postdoctoral researcher in the Machine Learning group of the Laboratoire d'Informatique de Grenoble (LIG). Specifically, I work with Prof. Massih-Reza Amini on the FUI project Calypso, a collaboration with Kelkoo and Purch on recommendation systems and online advertising.

I obtained my Ph.D. from the University of Paris Descartes in 2016 under the supervision of Mohamed Nadif.

You can find more information in my CV 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. More recently I have started to work on learning to rank approaches for recommendation systems.

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