About - more info on LinkedIn

I am a CNRS reasercher in Computer Graphics in the Storm team at IRIT.
My research is at the interface with Physics, focusing on the question of coupling different physics into a single path space in order to solve them using Monte Carlo methods. For example, my previous work has dealt with the simulation of infrared images, involving conduction in solids, convection in fluids and radiation; or the coupling of radiative transfer to spectroscopic models in the atmosphere. The aim of these path-space formulations is to obtain accurate methods that scale up as the system becomes more complex (geometric, temporal complexity, etc.). In particular, I am interested in the specific computating issues raised by coupled physics in terms of the operationality of these methods: data structures, formulation of efficient and unbiased estimators, information storage for analysis and inversion.

Previously, I did a post-doc in the Grephe team at Laplace advised by Richard Fournier and Stéphane Blanco, and in the Storm team at IRIT, collaborating with Mathias Paulin and Nicolas Mellado.
I defended my Ph.D. thesis in December 2021, about the inverse design of layered material appearance in the context of geometric optics, supervised by Romain Pacanowski and Pascal Barla. This work was conductedi as part of the Manao team, joint between LP2N and Inria Bordeaux Sud-Ouest.


Research - subset of publications, full list here

Spectrally refined unbiased Monte Carlo estimate of the Earth's global radiative cooling

PNAS 2024

Paper      Supp. PDF      Code      Editor's page      HAL


Coupling Conduction, Convection and Radiative Transfer in a Single Path-Space: Application to Infrared Rendering

ACM TOG 2023 ; presented at SIGGRAPH 2023

Paper      Supp. PDF      Talk      Editor's page      HAL


An Inverse Method for the Exploration of Layered Material Appearance

ACM TOG 2021 ; presented at SIGGRAPH 2021

Paper      Supp. PDF      Code      Talk      Editor's page      HAL