Antoine Allard

Assistant Professor, Département de physique, de génie physique et d'optique, Université Laval, Québec, Canada

Antoine's research combines statistical mechanics, graph theory, nonlinear dynamics and geometry to develop mathematical models of complex networks and to study the structure/function relationship specific to complex systems. Recent projects involve the use of deep learning to simulate dynamical processes on networks, the use of non-Euclidean geometry to characterize the multiscale organization of the human connectome, and the use of percolation theory to highlight the role of superspreading events in the transmission dynamics of SARS-CoV-2.