Gerben I. Beintema obtained his PhD in 2024 at the Eindhoven University of Technology (TU/e) under the supervision of prof. Roland Toth and Maarten Schoukens. His research was focused on data-driven learning of dynamical systems using AI and machine learning. He also obtained a master's degree in Applied Physics (Flow profile) from the Eindhoven University of Technology (TU/e), cum laude, in 2019. Under the supervision, of Full Professor Federico Toschi, his MSc thesis showed that deep reinforcement learning can be used to obtain state-of-the-art controllers to reduce fluid movement in a chaotic thermally driven convective flow. This reduction of flow is a desirable property for crystal silicon growth. This research has been successfully published in the peer-reviewed Journal of Turbulence.