I am a Postdoctoral Researcher and Junior Research Group Leader at Bielefeld University. Our Junior Research Group develops Artificial Intelligence methods for modeling and controlling complex physical systems. Motivated by major global challenges such as climate change and the energy transition, we explore how AI can help understand and model the dynamics of systems in fluid mechanics, and how to enforce desired outcomes through advanced control strategies. A key focus of our research is improving the robustness of these methods under changing conditions and increasing their sample efficiency by using surrogate models and embedding physical knowledge directly into the learning process.
Prior to this, I obtained my PhD (with Highest Distinction) from the University of Groningen, where I was part of the Intelligent Systems group. My doctoral research focused on the theory of neural networks, and I developed a successful predictive maintenance system for a smart factory environment.
Postdoc and Junior Research Group Leader
Machine Learning group, Bielefeld University
PhD in Theoretical Machine Learning and Industry 4.0
Intelligent Systems group, University of Groningen, PhD thesis
MSc. in Computing Science (specialization: Machine Learning)
University of Groningen
We build a robust reinforcement learning agent to control Rayleigh-Bénard Convection in turbulent conditions and compare against conventional control methods.
We train Fourier Neural Operator (FNO) surrogate models for Rayleigh-B’enard Convection (RBC), a model for convection processes that occur in nature and industrial settings and that yields zero-shot super resolution. We compare the prediction accuracy and model properties of FNO surrogates to two popular surrogates used in fluid dynamics.
In order to compute weight updates, backpropagation uses complete knowledge of the downstream weights in the network. In [1] it is …
A multidisciplinary project focusing on transparent AI, human agency, safety and resource-efficiency.
Typical case analysis of machine learning scenarios
Employing AI techniques to model and control dynamical systems.
Using Machine Learning methods to improve health care
Focuses on the development of intelligent, connected and customized production processes