Bio
I am an R&D Engineer and PhD Candidate (expected Oct 2026) in computational cosmology at the AstroParticule & Cosmology Laboratory (APC, CNRS/IN2P3) and Université Paris Cité. I am advised by Eric Aubourg, Alexandre Boucaud, Josquin Errard, and François Lanusse. My thesis, “Automatically differentiable and distributed probabilistic programming for weak-lensing inference,” aims to bridge the gap between mathematical physics and industrial-grade software engineering.
I develop differentiable N-body solvers (using JaxPM) capable of running at Rubin LSST scale. By leveraging multi-node domain decomposition and automatic differentiation, my work enables hierarchical Bayesian inference directly over forward simulations of large-scale structure, paving the way for full-field inference and near-optimal extraction of cosmological information .
As a member of the Simons Observatory , I also work on CMB component separation. I am particularly focused on modeling the spatial variability of foreground spectral indices to reduce bias on the tensor-to-scalar ratio . To this end, I develop the FURAX framework , building a fast, scalable minimizer designed to be efficient with extremely noisy data for upcoming full-sky missions like LiteBIRD.
Prior to my PhD, I spent 5 years in industry. I was a Software Infrastructure Engineer at Dassault Systèmes, optimizing C++/Linux pipelines for CATIA , and a Data Acquisition Engineer at Renault .