Supervision

PhD students

François Roussel, 2025–2028 (co-supervised with Jenny Sorce): Bayesian estimate of Galaxy cluster masses for improved cosmological parameter inference
Nicolas Goeman, 2024–2027 (co-supervised with Pierre Chainais): Distributed MCMC algorithms for astronomy and cosmology
Maxime Bouton, 23/20/2022–31/12/2025 (co-supervised with Pierre Chainais): Distributed Plug-and-Play MCMC algorithms for high-dimensional Bayesian inference
Pierre Palud, 2020–2023 (co-supervised with Pierre Chainais, Franck LePetit and Emeric Bron): Sampling methods for statistical inference of non-linear inverse problems : spatial distribution of physico-chemical properties of the interstellar medium

Jean Prost, 25/03/2024–31/08/2025 (co-supervised with Jenny Sorce, Pierre Chainais): Bayesian inference for cosmology: Inferring initial conditions of the local cosmic web
Yusuf Yigit Pilavci, 07/2023–17/07/2025 (co-supervised with Pierre Chainais, Jérémie Boulanger): Polarization priors for bivariate signal reconstruction - Application to graviational waves.

Stéphane Despierres, 07/11/2022–07/11/2025 (co-supervised with Pierre Chainais): Distributed implementation of MCMC algorithms for inverse problems, in C++ and Python.

François Roussel, M2DS, ULille, 01/04/2025–26/09/2025 (co-supervised with Jenny Sorce, Pierre Chainais): A Bayesian approach to estimate Galaxy cluster masses for improved cosmological parameter inference
Nicolas Goeman, M2DS ULille, 02/04/2024–30/09/2024 (co-supervised with Pierre Chainais): A hierarchical likelihood model to account for both additive and multiplicative noise in astronomy - Application to ORION-B data
François Roussel, M1DS, ULille, 15/04/2024–19/07/2024 (co-supervised with Jenny Sorce, Pierre Chainais): Estimating galaxy cluster masses from radial velocities
Matthieu Plotton, M1DS ULille, 25/04/2022-15/07/2022 (co-supervised with Pierre Chainais): Parallel implementation of a primal-dual algorithm for image deconvolution, development conducted both on Python and in C++.