Office Room : C266

Tel : +33 2 99 05 32 59

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I am currently an assistant professor at the National School of Statistics and Information Analysis (ENSAI ), member of the Center for Research in Economics and Statistics (CREST).

I was a PhD student from october, 2013 to november, 2016 at CRIStAL in Lille, France, under the supervision of Pierre Chainais and I was part of the SigMA group at CRIStAL. My Ph.D. thesis is entitled “ Non-parametric Bayesian approaches and dictionary learning for inverse problems in image processing”.

Research interests

  • Statistical signal and image processing.
  • Inverse problems in signal and image processing.
  • Matrix factorization.
  • Dictionary learning, sparse representations.
  • Classification, clustering.

Tools and methods (favorite)

  • Bayesian inference, hierarchical models, latent variable models.
  • Bayesian nonparametric.
  • Markov chain Monte Carlo (MCMC) algorithm.
  • Expectation-Maximization algorithm, variational approximation.

I am particularly interested in working on medical imaging problems.
I am also interested in interaction between Bayesian methods and optimization.