Welcome to my web page.

I have defended my PhD on Dec. 4th 2013. I was funded by a doctoral contract at UPMC and mainly hosted by the Laboratoire de Statistique Théorique et Appliquée (LSTA). My supervisors were
My main research field is statistical learning. So far, I have focused on the following themes.
  • Aggregation of estimators and predictors,
  • MCMC algorithms in high dimensions,
  • PAC-Bayesian theory,
  • Prediction under a sparsity constraint.
I am a co-organizer of the PhD seminar of the LSTA (calendar).
Click here to send me an email, and there to see a (somewhat) recent picture. You can download my CV here.

Links
arXivGoogle ScholarLinkedInResearchGate

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