SIMSMART

  Simsmart is a computational probability and statistics research team, dedicated to the study of Monte Carlo algorithms within a mathematical perspective.

  The main applications of interest are related to the simulation and statistical inference of stochastic complex dynamical physical systems; in particular systems arising in meteorology and computational physics at the molecular scale.

  Using an appropriate level of mathematical abstraction and generalization, Simsmart aims at providing non-superficial answers to methodological challenges related computational complexity reduction, statistical variance reduction, and uncertainty quantification.

  Those challenges arise in a context where computational power is nurturing scientists into simulating the most detailed features of physical reality, relying on more and more cumbersome models, data sets, and (stochastic) algorithms.