Since 2023 I am a PhD student in the Machine Learning in Sustainable Energy Systems research group within the Cluster of Excellence – Machine Learning for Science at the University of Tübingen.
My PhD project Modular Neural Networks is part of the BMBF funded FEAT project and focuses on the development of robust and flexible neural network architectures to solve time series forecasting problems within a complex system such as the application in the AMIRIS model.
Interests
- Causal Inference
- Explainable Machine Learning
- Modular Neural Networks
- Meta Learning
- Graph Neural Networks
- Robustness to Concept Drifts
Education
MSc student in Machine Learning, 2022
University of Tübingen
MSc Cognitive and Integrative Systems Neuroscience, 2020
University of Marburg
BSc in Cognitive Science, 2018
University of Tübingen