- Dimensionality Reduction and Sparsity in Signal Processing and Machine Learning
- Large-Scale algorithms
- Graph sampling, graph neural nets
I graduated from Ecole polytechnique (Palaiseau, France), and obtained the « Mathématiques, Vision, Apprentissage » (MVA) Master’s degree from Ecole Normale Supérieure de Cachan in 2014. I prepared my thesis at IRISA, Rennes, France, under the supervision of Rémi Gribonval, and defended it in October, 2017. From 2017 to 2019 I was a postdoctoral researcher at Ecole Normale Supérieure, on the CFM-ENS “Laplace” chair in data science. I received the Best Student Paper Award at SPARS 2017.
I play the piano.