I am broadly interested in mathematics, computer sciences, and cognitive sciences and their applications to developmental and social robotics. This means that I use robots as tools to better understand the human mind, and take inspiration from knowledge about infants' cognitive development or human social interactions to improve robots' capabilities.
The mechanisms underlying the perceptual and motor development are my main subject of interest, with an emphasis on the emergence of structure in perception and action. I study these questions in the context of language acquisition, learning by imitation, concept emergence, human-robot collaboration, and multimodal learning. More than each individual topic, I focus on similarities and interconnections between them.
I am currently a postdoctoral associate in Pr. Scassellati's social robotics laboratory at Yale university. I completed my PhD in computer science within the Flowers team at INRIA Bordeaux under the supervision of Pierre-Yves Oudeyer. I am an alumni of École polytechnique and the MVA master (mathematics for vision and machine learning).More detailed information is available on my résumé.