I received a PhD. thesis in computer sciences on the modeling of speech prosody and speaking style for text-to-speech synthesis (2011) for which he obtained the best PhD thesis award from La Fondation Des Treilles in 2011. I am deeply passionated about sound, waves, oscillations, vibration as well as the theory of information and communication. Through the years I have developed a strong interest in the behavior and communication between humans, animals, robots (and vegetals!).

My research activities cover audio signal processing, artificial intelligence, machine learning, and statistical modeling of sound signals with specialization on speech processing and human communication. My main area of ​​research is the structured generative modeling of complex human productions such as speech, singing and music with various applications in speech synthesis and transformation, multi-modal virtual agent animation, and humanoid robotics. Lately I initiated activities in the fields of bioacoustics and sound ecology.
As part of my artistic commitment to Ircam, I am actively promoting digital science and technology for arts, culture, and heritage, and collaborated with renowned musicians and artists, such as: Eric Rohmer, Philippe Parreno, Roman Polansky, Leos Carrax, and George Aperghis.

As a specialist in speech technologies, I give talks and interviews for prestigious French schools, institutions, and broadcast media (Collège de France, Ecole Normale Supérieure, Science Po, CNIL, Le Monde, Télérama, TF1, France 5, Arte). As a teacher, I am responsible of the audio signal processing, biometrics, and deep learning courses in the Master of Science Engineering and also co-responsible of the deep learning professional formation delivered by Sorbonne Université, and co-funder of the DeepVoice, Paris annual event on speech technologies and SophIA: the Sorbonne university student association for Artificial Intelligence in collaboration with the Sorbonne Center for Artificial Intelligence (SCAI).