Vitus Benson

Vitus Benson is a doctoral researcher at the Max Planck Institute for Biogeochemistry and ETH Zürich, focusing on deep learning applications in Earth observation and climate science. As part of the EarthNet project and AI4Carbon Community Initiative, he develops AI systems for climate risk mitigation and carbon cycle modeling.

• Current Affiliation: ELLIS PhD Student, Max Planck Institute for Biogeochemistry & ETH Zürich
• Education: MSc Mathematical Physics (University of Leipzig, PIK Potsdam, University of Stockholm, St. Petersburg State University), BSc Mathematics & Business Administration (University of Göttingen)

His research interests span:

• Deep learning for Earth system data
• Biogeochemical cycle modeling
• Climate change adaptation strategies
• Complex systems analysis
• Early warning systems development
• Atmospheric transport modeling

Analysis of his publications reveals trends in:

• Scientific machine learning for climate systems
• Integration of multimodal geospatial data
• Carbon cycle modeling with neural networks
• Vegetation forecasting using spatiotemporal methods
• Climate risk mitigation through AI
• Teleconnection pattern analysis for weather prediction

As a key contributor to the EarthNet initiative, he works on data-driven impact early warning systems for climate extremes. His collaborations include Markus Reichstein and Fanny Yang, with active participation in climate science workshops and symposia.