Our research encompasses modelling, simulation, optimization, and visualization techniques that are central to our understanding of modern complex systems.
The use of rigorous methods from Analysis is at the core of our activity, and through a synergistic relationship between our expertise in Numerical Analysis of PDEs, Applied Probability, Variational Methods and Optimization, we aim at tackling pressing societal, scientific and industrial challenges.
Our areas of expertise: Computational PDEs (finite element methods, adaptivity & a posteriori error analysis) and applications in computational fluid mechanics, electromagnetics, biology, and medicine; Bayesian inverse problems; Uncertainty quantification; Stochastic numerics and modelling; Variational methods in mathematical physics; PDE-constrained optimization.