Short bio

I am a research associate at the Lagrange Mathematics and Computing Research Center of Huawei working with Alain Durmus and Eric Moulines.

I obtained my Ph.D. in statistics on October 7, 2020 from the University of Toulouse where I was supervised by Pierre Chainais and Nicolas Dobigeon, within the SC group of the IRIT laboratory.

In spring 2019, I was a research visiting scholar at the Department of Statistics of the University of Oxford working with Arnaud Doucet.

I am affiliated to the ORION-B project which gathers astrophysicists, data scientists and statisticians in order to better understand the formation of stars in our universe.

Research interests

My research interests lie in Bayesian modelling, the development of efficient computational methods for inferring unknown objects in complex problems and their applications to signal/image processing and machine learning.

My recent works focused on deriving a broad approximate statistical framework and associated Monte Carlo sampling approaches by taking inspiration from the variable splitting method in optimisation (e.g., used by quadratic penalty approaches).



2021/08 Our review paper on high-dimensional Gaussian sampling has been accepted for publication in SIAM Review!
2021/06 New preprint on Bayesian federated learning!
2021/05 1 paper accepted at ICML 2021 (long talk, top 14% of accepted papers).
2020/11 I’ve joined the Lagrange center of Huawei and will work with Eric Moulines.