Jérôme Casse

Jérôme Casse is an Assistant Professor of Mathematics at the University Paris-Saclay, affiliated with the Probability and Statistics team at the Mathematics Department (IMO). He holds teaching roles at the IUT of Sceaux (School of Marketing and Management), NYU Shanghai, and Mines Nancy. His research focuses on probability theory, stochastic dynamical systems, combinatorics, and integrable systems, with particular emphasis on probabilistic cellular automata (PCA), nearest neighbour trees, and models like the 8-vertex system.

Research interests span reversible stochastic systems, ergodic theory, spatial stochastic processes, and their applications in statistical mechanics. His work often explores the interplay between discrete and continuous probabilistic structures, with a focus on invariant laws, integrable models, and processes iterated ad libitum. Key contributions include studies on Poisson-Kirchhoff systems, edge correlations in lattice models, and the dynamics of random trees with catastrophes.

Teaching responsibilities include calculus, probability, graph theory, and partial differential equations across institutions like IUT GEA (192h/year) and NYU Shanghai. His publications (15+ articles since 2012) reflect expertise in stochastic processes, cellular automata, and their applications in both pure and applied mathematics.

Laboratory affiliations include the Laboratoire de Mathématiques d'Orsay (LMO), where he occupies office 3E3, and the IUT of Sceaux (office 401). No specific grants or awards are highlighted in the provided materials.