I was born near Paris in 1981 and stayed there until I got an engineering degree from Ecole Centrale Paris as well as a masters degree in Maths, Vision and Learning from ENS Cachan in 2003.
I then moved to Montreal to do an internship followed by my PhD in machine learning with Yoshua Bengio. The next four years were spent playing with neural networks, gradient descent methods, cycling amongst bears and trying to understand the habit of many Quebecers to constantly focus on the differences between them and the other Canadians.
In 2008, I moved to Cambridge, UK, and I discovered hardcore Bayesians (though I had met Radford Neal once before), rowing and jacket potatoes. My main project was to incorporate occlusions in a full scale probabilistic model of images involving Restricted Boltzmann Machines, Matlab and a lot of cursing.
After spending the summer of 2010 in NYU to learn about energy-based models and sparse coding, I moved back to Paris in Sierra to work with Francis Bach on winning an argument about machine learning. On our spare time, we also work on matrix factorization, metric learning and optimization.
I also try not to forget my dreams.