RESEARCH
PhD Students
Richard Faucheron, EDMITT, Toulouse University, Hybrid data assimilation and deep learning system for Earth monitoring, supervised together with Silvia Valero-Valbuena (CESBIO) (since 2024).
Oussama Mouhtal, EDMITT, Toulouse University, and Polytechnique Montréal. Randomized algorithms for data assimilation, supervised together with Youssef Diouane (Polytechnique Montréal) and Dominique Orban (Polytechnique Montréal) (since 2023).
Olivier Goux, SDU2E (Sciences de l’Univers, de l’Environnement et de l’Espace), Toulouse University, Accounting for observation error correlations in ocean data assimilation, supervised together with Anthony Weaver (CERFACS) and Oliver Guillet (Météo-France) (since 2021).
Jeremy Briant, EDMITT, Toulouse University, Multi-Level Monte Carlo approaches for data assimilation, supervised together with Paul Mycek (CERFACS), Ehouarn Simon (IRIT), Anthony Weaver (CERFACS) and Serge Gratton (ANITI/IRIT) (since 2021).
Mathis Peyron, EDMITT, Toulouse University, Latent-space data assimilation by using deep learning, supervised together with Serge Gratton (ANITI/IRIT) and Remi Druilhe (ATOS) (defended on October, 2024).
Oliver Guillet, Ecole Nationale de la Météorologie, Modelling spatially correlated errors in variational data assimilation using a diffusion operator on an unstructured mesh., supervised together with Serge Gratton (ANITI/IRIT), Xavier Vasseur, and Anthony Weaver (CERFACS) (defended on February, 2019).
PostDoc Research
Mayeul Destouches, Multi-Level Monte Carlo techniques for variational data assimilation, supervised together with Paul Mycek (CERFACS), Ehouarn Simon (IRIT), Anthony Weaver (CERFACS) and Serge Gratton (ANITI\IRIT) (January 2021 – November 2022).
Nicolas Baillot d’Etivaux, Multi-incremental multi-resolution data assimilation, supervised together with Yann Michel (Météo-France) and Benjamin Ménétrier (Met Norway) (October 2020 – November 2021).
Benoit Pauwels, Preconditioning of the bound constrained optimization for aerodynamics applications, supervised together with Philippe
Toint (University of Namur), Serge Gratton (ANITI/IRIT) and François Gallard (IRT) (May 2018 – September 2019).
François Mercier, Block Krylov methods for accelerating ensembles of variational data assimilation, supervised together with Yann Michel (Météo-France), Thibaut Montmerle (Météo-France) and Pierre Jolivet (IRIT) (October 2016 – January 2018).
Internships
Jordan Ramassamy-Moutoussamy, Learning dynamical system through differentiable data assimilation and machine learning (April 2024 – September 2024)
Oussama Mouhtal, Randomized preconditioners for data assimilation (April 2023 – September 2023)
Hélène Henon, Learning dynamics with inflation-based differentiable data assimilation (February 2023 – August 2023)