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Brief bio


I am an alumni from the École Normale Supérieure de Cachan, near Paris. I graduated from UC Berkeley with a PhD in Statistics in January 2009. My PhD advisor at Berkeley was Pr. Michael Jordan. After my PhD, I was a post-doc in the WILLOW group. After my post-doc I had a researcher position in the WILLOW and then in the SIERRA group group until December 2012.
I am interested in Machine Learning and its applications. A large part of my research has been related to variable selection, the LASSO and regularization schemes inducing not only sparsity but sparsity with specific structure. I try to use structured sparsity to explore more efficiently large feature spaces, and to uncover the latent structure of signals. I am also interested by large scale online learning and matrix learning.