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. In addition, I am part of the International Max Planck Research School for Intelligent Systems (IMPRS-IS).

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.

  • Causal Inference
  • Explainable and Physics-Informed ML
  • Modular Neural Networks
  • Meta Learning
  • Graph Neural Networks
  • Robustness to Concept Drifts
  • Complex Systems
  • MSc in Machine Learning, 2023

    University of Tübingen

  • MSc in Cognitive and Integrative Systems Neuroscience, 2020

    University of Marburg

  • BSc in Cognitive Science, 2018

    University of Tübingen