Jakob is a Junior AI Researcher at TransferLab and a student of computational science and engineering at the Technical University of Munich (TUM). With a foundation in mechanical engineering from his undergraduate studies, Jakob has evolved into a computational scientist and engineer, driven by his passion for computer and data-driven approaches, especially physics-informed machine learning. Currently, Jakob is finishing his studies and submitted his thesis on “Physics-Informed Neural Operators with Applications to Sonic Crystals” at TUM in collaboration with the appliedAI Institute for Europe. His goal is to make research in this field accessible and practical for both researches and industry professionals, ensuring that cutting-edge advancements can be effectively utilized in real-world applications.