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.


PGP Public Key
This site is powered by Jekyll, uses the Hyde theme and runs on Google App Engine. The old site can be accessed here (design by HTML5UP).