Selected Publications: 'On Learning Gaussian Multi-index Models with Gradient Flow' (with A. Bietti, J. Bruna); 'SGD with large step sizes learns sparse features' (with M. Andriushchenko, A.V. Varre, N. Flammarion). For a complete list, visit my Google Scholar page.
Research Experience
Was a Courant Instructor/Flatiron fellow at the Courant Institute of NYU and the Flatiron Institute, working mainly with Joan Bruna. Also, a postdoc in the Theory of Machine Learning group of Nicolas Flammarion at EPFL.
Education
Ph.D. from the SIERRA Team, under the supervision of Francis Bach and Alessandro Rudi, focusing on stochastic approximation for high-dimensional learning problems.
Background
I am an assistant professor at Ecole des Ponts ParisTech and a researcher at CERMICS, in the Applied Probability team. My main research interests are centered around optimization, statistics, and stochastic models.