I am a machine learning scientist and tech lead of the AI team at Ava, working in speaker recognition research to help breaking communication barriers between the deaf & the hearing world. My current research and engineering topics include mainly real-time speaker diarization with multiple channels, metric learning and neural voice embeddings.
I obtained my PhD (CIFRE) in Machine Learning and Optimal Control from the Ecole Polytechnique, under the supervision of Frédéric Bonnans and Pierre Martinon from INRIA's COMMANDS team. I was also greatly advised by the researchers from the French start up Safety Line, which funded my PhD. During my thesis I could develop practical solutions for identifying civil aircraft dynamical models using historical flights data, and use such models to reduce future flights fuel consumption and CO2 emissions with model-based reinforcement learning. My work is now part of the product OptiClimb, which is currently being used to deliver fuel efficient trajectories for flights all over the globe.
I also hold a MSc. in engineering and applied mathematics from MINES ParisTech.