Research Interest

I am broadly interested in mathematics, computer sciences and cognitive sciences and their applications to developmental and social robotics.

My PhD studies are focused on the discovery of invariances and basic components from robot perception. This covers learning motion primitives from complex human behaviors, as well as linguistic components such as words and their meaning from multimodal perception.

I am exploring the use of techniques such as nonnegative matrix factorization, deep learning with restricted Boltzmann machines, mixtures and products of Gaussian probability density functions.


I am part of the INRIA Flowers Team and funded by Université Bordeaux 1. My PhD is supervised by Pierre-Yves Oudeyer.


Dipl. École polytechnique, France; M.Sc. in applied Mathematics (Vision and Artificial Intelligence, ENS Cachan, France).