I am a research scientist at Facebook Artificial Intelligence Research.

Prior to that, I was a post-doctoral researcher and a Simons junior fellow. I worked with Nathaniel Daw, investigating computational models and neural bases of learning and decision making at the Center for Neural Science of New York University.

I obtained my PhD in 2012. I was lucky to have Yann LeCun and Jean Ponce as my advisors, and collaborate with other great people at those two places(mainly Francis Bach and Marc'Aurelio Ranzato). I was working on deep learning, machine learning, and computer vision as part of the Computational and Biological Learning Lab (part of the Courant Institute of Mathematical Sciences at New York University), and the Willow Team (part of the LIENS, Computer Science Department of Ecole Normale Supérieure, and INRIA). I also interned at Google Research Mountain View, under the thoughtful guidance of Samy Bengio.

My Google scholar page.
More in my CV (English or French).

Research interests

My main research interests are learning, decision making, and machine learning. More precisely, my work has focused on:
  • Normative models of self-control.
  • Behavioral trade-offs between costs and rewards.
  • Convolutional neural networks.
  • Deep learning.
  • Sparse coding in deep architectures for image recognition.