I am a Research Scientist at Owkin, working on computer vision for histopathology. My research spans self-supervised learning, spatial transcriptomics and cutting-edge imaging modalities like imaging mass cytometry (IMC) and immunofluorescence (IF).

I am a core contributor to skglm, a solver for high-dimensional sparse learning problems and, ggml, a C library for efficient tensor calculus. I have created bark.cpp, a package to run text-to-speech models on the edge.

Previously, I was an ML researcher at French computer science research institute INRIA in the Parietal team, working on sparse neuroimaging models and optimization with Alexandre Gramfort and Joseph Salmon.

For my master thesis, I worked with Mathurin Massias on convex and non-convex non-smooth optimization algorithms.

I hold an MSc in Data Science from Ecole Polytechnique. Before that, I graduated from HEC Paris (management) in France.