About me

I am a PhD student at CREST, ENSAE – Institut Polytechnique de Paris, under the supervision of Marco Cuturi. During my PhD, I completed research internships at Adobe Research Paris in summer 2025, where I worked with Elie Michel on authoring tools for Gaussian splatting in computer graphics, and at Microsoft Research New England in summer 2026, where I worked with David Alvarez-Melis on optimal transport problems with applications to machine learning.

Research Interests

My research explores how theoretical ideas from optimal transport can be turned into practical methods for machine learning. I develop neural and computational tools for classical optimal transport problems, with applications to sampling, generative modeling, and the analysis of probability distributions.