About Me

I’m a PhD candidate in Machine Learning at the University of Colorado Boulder in the CLIMB lab. I graduated from École Polytechnique with a degree in Computational Mathematics and a minor in Machine Learning, and hold a master's degree in “Mathematics, Computer Vision, and Learning” from ENS Paris-Saclay.

My interests mainly lie within applied artificial intelligence and machine learning. I worked on deep and hierarchical reinforcement learning as an intern at RIKEN AIP Labs, Tokyo. During my PhD, supervised by Claire Monteleoni, I focused on representation learning and deep clustering, with the goal of scaling spectral clustering methods. This work culminated in building a novel probabilistic approach for optimizing graph cuts. Currently, I’m exploring the "CL" part of "CLIMB" by applying Graph Neural Networks and other approaches for climate model assimilation and projection.