My research interests mainly focus on a central challenge in theoretical ecology: understanding the diversity of species. To adress this, I develop and apply mathematical models that capture the dynamics and structure of ecological systems.
Starting in December, I will begin a postdoctoral position with Cyrille Violle and Lucie Mahaut at the University of Montpellier, where my goal is to develop conceptual and theoretical insights into the distribution of functional rarity and to identify the mechanisms underlying unequal species contributions to ecosystem functioning.
I am currently a postdoctoral researcher co-supervised by Guillaume Blanchet and Dominique Gravel at the University of Sherbrooke. I am working on spatio-temporal networks and species interactions. I am also exploring how emerging tools from quantum computing can open new avenues for modeling and inference in ecology.
I completed my Ph.D. under the supervision of François Massol (CNRS, Sorbonne University) and Jamal Najim (CNRS, Gustave Eiffel University). The aim of my thesis was the development of a quantitative analysis of large Lotka-Volterra model based on random matrix theory. I received a Master in Probability and Finance from Sorbonne University.
Applied mathematics
Ecological networks
Spatial ecology
Random matrices
Quantum computing
Ph.D. in Mathematics, 2022
CNRS, Gustave Eiffel University
MSc in Probability and Finance, 2019
Sorbonne University
BSc in Mathematics, 2016
Lille University