Maxime Lucas


Welcome to my page!

I am a physicist with a strong interest in dynamical systems, complex systems, and networks, and their application to the life sciences.

I am currently working on various projects including theoretical models of dynamical processes on networks (synchronisation, contagion), and the analysis of experimental data such as the brain’s electrical activity or whale speech. I work with Giovanni Petri at the CENTAI Institute in Turin (Italy), and previously at the ISI Foundation. I use a variety of approaches including for example dynamical systems theory, network science, and topological data analysis.

Before that, I worked on temporal networks of proteins with Alain Barrat, Bianca Habermann, and Laurent Tichit at the interdisciplinary Turing Centre for Living Systems (CENTURI) in Marseille (France).

Before that, during my PhD, I worked on the synchronisation of nonautonomous networks of oscillators. The project was part of COSMOS, a Marie Curie training network, and I was co-supervised by Aneta Stefanoska (Lancaster University, UK) and Duccio Fanelli (University of Florence, Italy). I also hold a Complementary Master’s in Artificial Intelligence from KULeuven (Belgium) and a Master’s in Physics from Université Libre de Bruxelles (Belgium).

Do not hesitate to contact me for questions/comments/ideas/.. or just to say hi!

Research interests:

  • complex systems
  • dynamical systems
  • complex networks
  • synchronisation


Nov 23 Short paper “Phasik: a Python package to identify system states in partially temporal networks” out in JOSS.
Sep 23 New preprint “Deeper but smaller: Higher-order interactions increase linear stability but shrink basins”, available at arXiv:2309.16581!
Jul 23 “Social learning across symbolic cultural barriers in non-human cultures” preprint out arXiv:2307.05304!
Jun 23 I was nominated for the Young Researcher Award at FRCCS!
May 23 “A unified framework for Simplicial Kuramoto models” preprint out arXiv:2305.17977!

selected publications

  1. Higher-order interactions shape collective dynamics differently in hypergraphs and simplicial complexes
    Y. Zhang*,  M. Lucas*, and  F. Battiston
    Nat. Commun., 2023
  2. Inferring cell cycle phases from a partially temporal network of protein interactions
    M. Lucas,  A. Morris,  A. Townsend-Teague,  L. Tichit,  B. H. Habermann, and  A. Barrat
    Cell Rep. Methods, 2023
  3. Networks beyond pairwise interactions: structure and dynamics
    F. Battiston,  G. Cencetti,  I. Iacopini,  V. Latora,  M. Lucas,  A. Patania,  J.-G. Young, and  G. Petri
    Phys. Rep., 2020