Research interests

Combining process-based models with data-driven models offers a huge potential to improve existing models with the ever increasing availability of big data. In my research, I started with investigating this on prototypical, chaotic dynamical systems. Now, my research is focussed on atmospheric dynamics and how scientific machine learning techniques, GPU-programming and automatic differentiation can be incorporated into climate models. 

Additional Information

Postdoctoral Researcher at the Earth System Modelling Group of Prof. Boers. Guest Researcher at the Potsdam Institute for Climate Impact Research