Master of Science in Machine Learning
University of Tübingen
Current GPA: 1.77
Oct 2024 — Present
Bachelor of Science in Cognitive Science
University of Tübingen
Final grade: 1.29 — Top 11%
Oct 2021 — Oct 2024
Thesis: Using Permutation Feature Importance to Analyse a Deep Learning Hydrological Model
Using permutation feature importance, a model-agnostic method, to analyse the inner workings of a deep learning hydrological model and identify the most influential input features and regions.
Law (State Examination Program)
University of Tübingen
Apr 2020 — Jul 2021
Abitur (German High School Diploma)
Schönbuch-Gymnasium, Holzgerlingen
Final grade: 1.0
Sep 2010 — Jul 2019