Graphs and Geometry

I explore the intersection of Riemannian geometry, spectral geometry and network science, with a specific focus on Random Geometric Graphs (RGG). My research seeks to uncover the intrinsic geometry of complex systems through latent space models, providing new mathematical frameworks for understanding hidden network geometry.

Most of these works are related to my thesis Geometry and Topology of Networks: Uncovering Structure through non-Euclidean Latent Manifolds prepared under the supervision of Julien Randon-Furling and Roland Bouffanais at the ENS Paris-Saclay and University of Geneva.