Welcome!

I am a PhD student at the Max Planck Institute for Intelligent Systems and the University of Tübingen, advised by Claire Vernade and Michael Mühlebach.
At the moment, I am on leave from my PhD to do an internship at Google Research in Paris.

My main research interest is reinforcement learning, particularly the problem of generalization and continual learning in RL. I am also interested in exploring connections between machine learning and other fields, such as dynamical systems, physics, and theoretical computer science.

I did my master’s degree in machine learning at the University of Tübingen, where I worked with Georg Martius (at MPI-IS) on colored noise exploration in reinforcement learning. Before that, I studied electrical engineering and computer science at the University of Duisburg-Essen, where I worked with Torsten Zesch on low-resource automatic speech recognition. Additionally, I worked as a data scientist at Siemens on operational forecasting for power plants.