I am a PhD student in the research group “Machine Learning in Sustainable Energy Systems” within the Cluster of Excellence – Machine Learning for Science at the University of Tübingen. Furthermore, I am part of the International Max Planck Research School for Intelligent Systems (IMPRS-IS).

In my work I focus on downscaling and bias correcting climate model simulations to model local climate change impact under uncertainty.

Interests
  • Downscaling and Bias Correction of Climate Models
  • Deep Learning for Wind Power Forecasting
  • Generative Models
  • Uncertainty Quantification
Education
  • MSc in Quantitative Data Science, 2023

    University of Tübingen

  • BSc in Economics, 2020

    University of Mannheim