Mission statement

Emphasis of our work is on the development of unified mathematical approaches to uncertainty quantification and propagation in complex multiscale, multicomponent and multiphysics systems. We are interested in all aspects of stochastic and statistical (Bayesian) modelling of continuum and discrete systems including solution of stochastic multiscale PDEs in high-dimensions, stochastic coarse graining, Bayesian inference, data-driven predictive science, non-linear model reduction algorithms, optimization and design in the presence of uncertainty, machine learning and probabilistic graphical networks.