I am currently a postdoctoral researcher at at CRIStAL, CNRS, working with Rémi Bardenet on determinantal point processes for statistical learning.

Before that, I was at University of Southern California as a postdoctoral researcher hosted by Salman Avestimehr, Antonio Ortega and Mahdi Soltanolkotabi, with researches activities centered around the theoretical aspects of learning with less labels. From 2016-2019, I was working, under the supervision of Romain Couillet, on my Ph.D. thesis “Methods of Random Matrices for Large Dimensional Statistical Learning”, for which I received the 2020 [GRETSI/GdR ISIS/EEA best thesis award.

Research interests

Random matrix theory, high-dimensional statistics.

Machine learning, methods for learning with less labels, neural networks, randomized feature selection.