Guillaume Obozinski

I am an alumni from the [ École Normale Supérieure de Cachan](http://www.ens-cachan.fr/english_version/index.html), near Paris. I graduated from [UC Berkeley](http://imagine.enpc.fr/%7Eobozinsg/www.berkeley.edu/tour/) with a PhD in [Statistics](http://www.stat.berkeley.edu) in January 2009. My PhD advisor at Berkeley was [ Pr. Michael Jordan](http://www.cs.berkeley.edu/%7Ejordan). After my PhD, I was a post-doc in the [WILLOW group](http://www.di.ens.fr/willow/). After my post-doc I had a researcher position in the WILLOW and then in the [ SIERRA group ](http://www.di.ens.fr/sierra/) group until December 2012. I am interested in [ Machine Learning](http://en.wikipedia.org/wiki/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.

I am an alumni from the [ École Normale Supérieure de Cachan](http://www.ens-cachan.fr/english_version/index.html), near Paris. I graduated from [UC Berkeley](http://imagine.enpc.fr/%7Eobozinsg/www.berkeley.edu/tour/) with a PhD in [Statistics](http://www.stat.berkeley.edu) in January 2009. My PhD advisor at Berkeley was [ Pr. Michael Jordan](http://www.cs.berkeley.edu/%7Ejordan). After my PhD, I was a post-doc in the [WILLOW group](http://www.di.ens.fr/willow/). After my post-doc I had a researcher position in the WILLOW and then in the [ SIERRA group ](http://www.di.ens.fr/sierra/) group until December 2012. I am interested in [ Machine Learning](http://en.wikipedia.org/wiki/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.