My research interests are at the crossroads of statistical physics, machine learning and computational neuroscience.

I received my PhD in Physics from Université Paris-Saclay. My graduate research focused on the search for theoretical foundations of machine learning using methods and knowledge from statistical physics. I have worked on the high-dimensional dynamics of stochastic optimization algorithms, investigating the reasons behind their good generalization properties.