I’m originally a physicist, with a Master’s in cognitive science, now a third year computer science PhD student in Inria Nancy in the Multispeech team, supervised by Antoine Deleforge and Emmanuel Vincent. My research is focused on audio, in particular I have been working on deep-learning-based audio source separation and speech enhancement for a few years.
Since my very first lines of code, I’ve been loving open-source! 
My largest contribution is this field is the co-creation of Asteroid, a PyTorch library to make source separation and speech enhancement simple. You can check my other projects on my GitHub profile and on Asteroid’s organization
Updates:
- November 2020: Our team (Samuele Cornell, Michel Olvera, Giovanni Pepe, EmanuelePrincipi, Leonardo Gabrielli, Stefano Squartini and me) won the jury’s price for the most innovative approach for DCASE Task 4.
- October 2020: Our team (Samuele Cornell, Fabian-Robert Stöter, Michel Olvera, Jonas Haag and me) won the PyTorch Summer Hackathon 2020 with our Asteroid/DeMask submission.
- October 2019: We are releasing Asteroid, a PyTorch toolkit for researchers in speech separation and enhancement. Hop on and help us!
- July 2019: I’m participating to the JSALT 2019 summer school and workshop where I’ll be working on robust multichannel speech separation and speech enhancement.
- September 2018: I’ll be leaving the ENS and joining the Multispeech team) at Inria Nancy to start a PhD on generative models of speech, with an emphasis of phase modeling!