Published several papers, including 'SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery', 'Better, Not Just More: Data-centric machine learning for Earth observation'; Organized the second Machine Learning for Remote Sensing (ML4RS) workshop at ICLR 2024; Published a paper on meta-learning to address diverse Earth observation problems across resolutions in Nature Earth & Environment.
Research Experience
Assistant Professor at Wageningen University (2023 - present); Postdoctoral Researcher at École Polytechnique Fédérale de Lausanne (EPFL) (2022 - 2023); During his Ph.D., he visited the European Space Agency, the University of Oxford, Obelix Laboratory in Vannes, and Lobell Lab in Stanford.
Education
BSc and MSc in Geodesy and Geoinformation from Technical University of Munich (2011 - 2018); Ph.D. (Dr.-Ing.) in Remote Sensing Technology from Technical University of Munich (2018 - 2022).
Background
Research interests include developing modern machine learning methods for real-world remote sensing problems, such as classifying vegetation from satellite time series and detecting marine debris in the oceans. Interested in domain shifts and transfer learning problems naturally arising from geographic data.
Miscellany
Interests in running and cycling, history, chess; Speaks German (Native), English (Professional), French (Basic).