Luc Rey-Bellet

Luc Rey-Bellet's research interests are in statistical mechanics (both equilibrium and nonequilibrium) and applied probability:  physical and mathematical properties of non-equilibrium steady states; the theory of large deviaitions and its applications to physical systems (billiards and quantum systems); coarse-graining strategies and numerical schemes for lattice spin systems and stochastic processes; evolutionary game theory and mathematical economics; Monte-Carlo methods; information theory and uncertainty quantification; machine learning.