Robin Schmöcker studied Computer Science and Mathematics at Oxford University and Leibniz University Hannover. He completed his master's degree in Computer Science in 2023 with the thesis "Training and Combining Weak Reinforcement Learners for Enhanced Performance" and his master's degree in Mathematics in 2024 with the thesis titled "Evaluation and Improvements to Mesh Graph Nets for Computational Fluid Dynamics Simulations". In his research, he is mainly concerned with abstraction techniques for search as well as ensemble techniques for reinforcement learning.