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.