MIAI Chair R-GAINS 2025 - 2029 (co-PI)
An interdisciplinary project developing robust generative AI for physical sciences, from Monte Carlo sampling to multiscale dynamics.
Research projects
ANR SuSa 2020 - 2025 (PI)
The SuSa project is funded by the Agence Nationale de la Recherche. Its purpose is to develop innovative and robust sampling methods for physics and Bayesian inference.
80 Prime CosmoBayes 2021 - 2023 (PI)
CosmoBayes combines mathematics, cosmology, and high-performance computing to develop advanced Bayesian inference methods — notably Piecewise Deterministic Monte Carlo — for analyzing next-generation cosmological survey data within the BORG framework.