Bio
I am a PhD Candidate in the field of explainable machine learning and climate science. I am developing and applying new transparent deep neural networks and explainability algorithms to uncover new insights in the field of climate science. I aim to pursue a scientific career with societal impact to help fight climate change. When not doing research, you will find me in the climbing gym or enjoying good food and music.
Research Interests
I am a interested in developing transparent deep learning solutions for climate- and geosciences. In that I am dedicated to develop methods that aid domain experts in gaining a better understanding of the climate and earth system as well as enable transparent and safe application of AI in the fight against climate change. Beyond that I am passionate to analyse the learning and reasoning of deep learning models both by developing practical tools but also on a theoretical level and am passionate about dynamical systems theory.
Curriculum Vitae
Bachelor of Science, Master of Science (Physics)
University of Heidelberg, Department of Computational Physics
Student Researcher at Mannheim Central Institut for Mental Health
Department of theoretical Neuroscience, Central Institut for Mental Health, Mannheim