About me

I’m a postdoctoral researcher at the GFZ Helmholtz Centre for Geosciences, working with deep learning for remote sensing analysis in the GLM group. Concretely, I’m applying novel and efficient AI approaches to continuous forest disturbance and land monitoring under the supervision of Martin Herold and Simon Besnard. I’m also a member of the IEEE GRSS and serve as a reviewer for GRSS-related journals, as well as for Neurocomputing, Pattern Recognition, Remote Sensing of Environment, and the International Journal of Applied Earth Observation and Geoinformation.

My research interests include Deep Learning, Multi-view Learning, Representation Learning, Model Robustness, and Earth Observation 🌎.

Previously, I worked at the German Research Centre for Artificial Intelligence (DFKI) on agriculture- and land-related projects, including crop yield prediction, crop-type mapping, and flood mapping using remote sensing data. I was part of the ESA team, contributing to research projects and publications in AI for Earth Observation.

Studies

I earned my PhD in Computer Science from the University of Kaiserslautern-Landau (RPTU), focusing on Multi-view Learning for Earth Observation Applications with Missing Views. My PhD was supervised by Andreas Dengel and mentored by Diego Arenas. I obtained my MSc and BSc degrees in Computer Engineering from the Universidad Técnica Federico Santa María (UTFSM), where I specialized in AI under the supervision of Ricardo Ñanculef. During my master’s studies, I worked on AI applications in crowdsourcing, astroinformatics, and information retrieval.