Model-Driven Machine LearningPhD Student
Phone: +49 (0) 4152 87-2156
My research focuses on the intersection of machine learning and Earth system modelling. I develop algorithms to combine of data-driven and numerical modelling. I’m particulary interested in developing machine learning frameworks that can be applied for inverse problems in the geosciences, such as data assimilation, parameter tuning and process learning from noisy and incomplete observations.