Project group Machine Learning for Hydrological and Earth Systems
Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)
My main research interests are climate physics, eco-hydrology and (knowledge-integrated) machine intelligence system frameworks for earth system science. My PhD focuses on the development and employment of deep hybrid learning algorithms in order to explore and better understand ecohydrological processes, and more specifically, water-vegetation interactions, across different spatiotemporal scales.