I am a research scientist at Sony AI in the Privacy-Preserving Machine Learning team. Check our our blog posts to better understand our activities. Before that, I was a PhD student at Télécom Paris, supervised by Robert M. Gower.
I try to code efficient and reproducible experiments through tested open source codes. I developped the Python open source package RidgeSketch (with FAIR New York). I also contributed to the Julia suite StochOpt and briefly to BenchOpt.
I recently got interested by Quantization-Aware Training (QAT) in the Federated Learning context from both a theoretical in empirical point of view. Feel free to reach out if you want to collaborate!
PhD in Applied Mathematics, 2021
Télécom Paris
Msc in Computer Vision and Machine Learning, 2018
ENS Paris-Saclay
Engineering diploma in Applied Mathematics, 2018
ENSTA Paris