Jakob is currently studying Computational Science and Engineering (CSE) at the Technical University of Munich. His interests lie at the intersection of engineering, science, and the innovative frontiers of data-driven methodologies, with a focus on the application of deep learning to physical problems. He currently works in the application of physics-informed deep learning and neural operators to enhance traditional engineering solutions.