Biography
I am PhD student advised by Antoine Allard and co-advised by Jean-Gabriel Young. I use Bayesian statistics and computational methods to improve our understanding of network models and properties. My current research focuses on the latent geometry of complex networks.
Education
PhD in Physics, Université Laval (2022–present) Supervised by Antoine Allard and Jean-Gabriel Young (U. Vermont)
MSc in Physics, Université Laval (2020–2022) — Inférence de la structure d’interactions de données bruitées Supervised by Antoine Allard and Jean-Gabriel Young (U. Vermont)
Publications
Symmetry-driven embedding of networks in hyperbolic space
On the reconstruction limits of complex networks
Hypergraph reconstruction from uncertain pairwise observations
Presentations
Symmetry-driven embedding of networks in hyperbolic space
Symmetry-driven embedding of networks in hyperbolic space
Symmetries as a guide for network hyperbolic embedding
Poster presentation, International School and Conference on Network Science (NetSci2024)
Québec, Canada, 2024
La géométrie au cœur des systèmes nordiques
On the reconstructability of complex networks
Contributed presentation, Sentinelle Nord Scientific Meeting
Québec, Canada, 2023
Inherent uncertainty of hyperbolic embeddings of complex networks
Contributed presentation, International School & Conference on Network Science (NetSci2023)
Vienna, Austria, 2023
An information theoretical approach to network reconstruction
Contributed presentation, International School & Conference on Network Science (NetSci2023)
Vienna, Austria, 2023
Inherent uncertainty of hyperbolic embeddings of complex networks
On the importance of correlation in graph reconstruction
Contributed presentation, International School and Conference on Network Science (Netsci2022)
Shanghai, China, 2022