I am a post-doctoral researcher in the CompACT team at IRISA, working with Nicolas Keriven. I defended my doctoral thesis in November, 2024, which was prepared at the GIPSA-lab, in the GAIA team, under the supervision of Pierre-Olivier Amblard, Simon Barthelmé and Nicolas Tremblay.
I hold both a master degree in computer science from Université de Bordeaux (with a focus on formal verification), and a master degree in mathematics from Université Grenoble-Alpes (focused on groups and geometry).
My work is at the intersection of applied probability, mathematical and computational statistics, and signal processing, incorporating different ideas coming from geometry. I am broadly interested in developing robust and efficient algorithms (both computationally and statistically) to process data defined over "geometrical" objects, and in particular through the lens of random sampling.
My doctoral work aimed at proposing randomized linear algebra tools for data-processing over graph bundles and simplicial complexes by leveraging determinantal point processes, a strictly-structured type of distribution with built-in repulsiveness between sample-points. My post-doctoral work so far has focused on proposing and studying determinantal point processes over point clouds on manifolds and over latent position random graphs, with applications in numerics over manifolds and machine learning issues.
I believe in mathematical rigor as a tool to not only understand but to drive novel methods in data analysis and processing, and in purposeful, insightful publications.