Pawan Goyal received a Ph.D. in applied mathematics from Max Planck Institute, Magdeburg in 2018. After a short postdoc at the MPI, he led a research team at the Max Planck Institute in the department of Prof. Peter Benner on “Physics-Enhanced Machine Learning,” where he focused on developing tailored machine learning algorithms to physics processes. Since Nov 2023, he is a senior AI engineer at the appliedAI Initiative. His research interests are physics-informed surrogate modeling, reduced-order modeling, and model-based reinforcement learning.