About me

My scientific interests lie at the interface between mathematics, physics and computer science.

After a curriculum in mathematics and physics, I notably studied differential geometry, gauge theory and operator algebra, mostly motivated by the challenges posed by quantum physics and general relativity.

My doctoral research then focused on statistical physics and graphical models. I used algebraic topology to describe Bethe-Kikuchi variational principles and generalised belief propagation (GBP). I proposed new regularisations of this message-passing algorithm, which efficiently estimate the marginals of a high dimensional probability distribution, and take the form of continuous-time diffusion equations.

I am now working as a postdoc at the Computer science Research Institute of Lens (CRIL). I focus on packaging an efficient implementation of graphical models and message-passing algorithms for the GPU. I also wish to extend the discrete algebraic and geometric framework developed during my PhD to wider applications, such as continuous or quantum graphical models.

pli et cusp

Publications

as coauthor