I studied Physics at the University of Göttingen and wrote my Master’s thesis at the Potsdam Institut for Climate Impact Research (PIK) where I also worked for one year as a research scientist. From 2020 to 2024 I was a PhD student in the in the research group Machine Learning in Climate Science. Furthermore, I was part of the International Max Planck Research School for Intelligent Systems (IMPRS-IS). I obtained my PhD degree in December 2024 for my thesis with the title “Complex Network Analysis for Exploring Teleconnection Structures - From Global Patterns to Local Propagation Pathways”.

Since September 2024 I am a Postdoc in the research group “Machine Learning in Sustainable Energy Systems” within the Cluster of Excellence – Machine Learning for Science at the University of Tübingen.

My current research focuses on developing probabilistic machine learning algorithms for estimating the impact of climate extremes and future warming on the the European energy grid.