I am a research associate at the Lagrange Mathematics and Computing Research Center of Huawei working with Alain Durmus and Eric Moulines.
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.
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).
- Prix Léopold Escande, 2020
- Finalist, Best Student Paper Award, IEEE MLSP 2018
2020/11 I’ve joined the Lagrange center of Huawei and will work with Eric Moulines.
2020/10 New preprint on high-dimensional Gaussian sampling.
2020/10 My Ph.D. defense is scheduled on October 7, 2020.
2020/09 Paper accepted in Journal of Computational and Graphical Statistics.
2020/08 Revision of our paper on the theoretical analysis of the Split Gibbs Sampler.