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 before I joined as a researcher.
I am interested in Machine Learning and its applications to Computational Biology, Computer Vision and Text Corpora and Natural Language Processing. My current work is related to variable selection, the LASSO and regularization schemes inducing not only sparsity but sparsity with specific structure. More specifically 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 online learning and semi-supervised learning.