Short bio

From September 2023 to June 2024, I was a Research Assistant Professor at Toyota Technological Institute at Chicago, where I worked with Nathan Srebro.
From 2017 to 2023, I was a PhD student in the Department of Statistics at Stanford University, where I was fortunate to be advised by Prof. Andrea Montanari. My thesis focused on the theory of Deep Learning and was awarded the Theodore W. Anderson Theory of Statistics Award. A copy can be found here. During my PhD, I visited Emmanuel Abbe at EPFL and spent a semester at the Simons Institute for the Theory of Computing, UC Berkeley.
Before my PhD, I was a student at Ecole Normale Superieure de Paris from 2013 to 2017, where I received a B.Sc. in Mathematics and a M.Sc. in Theoretical Physics. During my time there, I worked on various projects, including inverse Ising problems, LDPC codes, CMS experiment at LHC, D-Wave 2X, and massive gravity.

My CV can be found here (last updated 2024)