Samuel Burbulla

Samuel is an applied mathematician who pursued his PhD in mathematical modelling and numerical simulation. Now, he is enthusiastic about everything that makes machines intelligent! In particular, he is interested in the application of machine learning to the simulation of physical systems. This involves physics-informed deep neural networks, operator learning and other approaches to scientific ML.