Gábor Csányi is an expert in atomistic simulation, particularly in multi scale modelling that couples quantum mechanics to larger length scales. He is currently engaged in applying machine learning techniques to materials modelling problems e.g. deriving force fields (interatomic potentials) from ab initio data. He is also interested in statistical problems in molecular dynamics, e.g. in enhanced sampling algorithms that can be used to automate the calculation of phase diagrams from atomistic models.