I am the PI of the independent research group “Machine Learning in Sustainable Energy Systems” within the Cluster of Excellence – Machine Learning for Science at the University of Tübingen.
My research focuses on machine learning for problems related to sustainable energy systems, and I’m especially interested in uncertainty and the relationship between weather, climate and the energy system.
If you want to know more about Machine Learning in Science, also check out the Cluster’s Blog.
Interests
- Machine Learning for Energy Systems
- Probabilistic Machine Learning
- (Probabilistic) Time Series Forecasting
- Reinforcement Learning under Uncertainty
Education
PhD in Computer Science, 2020
Karlsruhe Institute of Technology
MSc in Information Systems and Network Economics, 2016
University of Freiburg
BSc in Economics, 2014
University of Freiburg