Patrick Ebel

Information

Bio

Patrick Ebel is a Research Fellow at the European Space Agency (ESA) Φ-lab, working on Earth Observation and remote sensing methods for satellite data. He holds a B.Sc. in Cognitive Science from the University of Osnabrück, Germany, followed by a double Master of Science degree in Computational Neuroscience and Artificial Intelligence from Radboud University Nijmegen, the Netherlands. He received his doctoral degree from the Technical University of Munich (TUM) as a member of the Data Science in Earth Observation Lab, where he researched image reconstruction in satellite data. During his PhD, he was also a visiting researcher at the EcoVision Lab at the University of Zurich.

Current Role

He is currently a postdoctoral scientist at ESA in Frascati, Italy. His research focuses on Earth Observation for extreme weather scenarios, with the aim of enabling timely action to counter natural disasters.

Areas of Expertise

Patrick’s expertise lies in several key areas of AI for Earth Observation, including AI-driven forecasting of coastal hazards such as storm surges and flood inundation; the fusion and assimilation of sparse in-situ measurements with large-scale reanalysis products; and the application of advanced deep learning methods, including graph-based neural networks, to post-process and enhance global climate datasets.

These specialisations enable him to develop robust, data-driven models that provide dense, global forecasts even in previously unobserved or ungauged locations, contributing to ESA Φ-lab CIN by supporting the development of timely, accurate, and globally applicable early-warning systems for extreme weather events.

Vision for the Future

Patrick looks forward to extending and improving hydro-meteorological hazard modelling. If his work has caught your attention or you share similar interests, he welcomes you to get in touch.