Maxime Lucas received both his bachelor and master’s degrees in physics from the Université Libre de Bruxelles, where he specialized in statistical mechanics, nonlinear and stochastic systems. His master’s thesis studied the analytical and numerical computation of the Lyapunov spectrum of dynamical billiards in the limit of rare particulate interaction. Maxime also holds a master’s degree in Artificial Intelligence from the Katholieke Universiteit Leuven with a thesis concerning models of neural networks of spiking neurons with embedded synfire chains. In 2015, Maxime began his PhD research at the University of Lancaster working on the project “Spatio-temporal dynamics of chronotaxic systems“, which is jointly supervised by Prof. Aneta Stefanovska at the University of Lancaster and Prof. Duccio Fanelli at the University of Florence. Maxime’s research interests are broad and concern mainly theoretical – both analytical and numerical – approaches to neuroscience and life sciences questions.
Lucas M., Fanelli D., Carletti T. and Petit J. “Desynchronization induced by time-varying network” 121 5 Europhys. Lett. (2018) LINK
Lucas M., Newman J., and Stefanovska S. “Stabilization of dynamics of oscillatory systems by nonautonomous perturbation” Phys. Rev. E 97, 042209 (2018) LINK
Lucas M., Suprunenko Y., and Stefanovska A. “How to characterise non-autonomous dynamics?” STATPHYS26. Lyon, France, July 2016 Poster
Lucas M. and Stefanovska A. “Why do we need non-autonomous models and methods?” International conference on biological oscillations (ESGCO 2016). Lancaster, UK, Apr 2016 POSTER
Lucas M. and Stefanovska A. “Living systems and chronotaxicity” University of Lancaster Christmas Conference, December 2015 Poster