His research focuses on Bayesian inverse problems, on optimal experimental design and optimization under uncertainty for systems governed by PDEs. Moreover, he works on the development of large-scale multi-level iterative solvers for systems of PDEs, discretized by higher-order methods. This works is mainly driven by non-Newtonian fluid problems arising in modelling the dynamics of ice sheets and the flow in earth’s mantle.