Research Profile

I develop machine learning methods for spatio-temporal and multi-modal data in environmental and maritime applications, with a focus on ML against climate change.

Research Focus

• Earth observation and ecosystem monitoring: satellite, UAV-LiDAR, point-cloud, and multi-sensor data for forests, agriculture, wetlands, drylands, and fire vulnerability.
• Ocean technologies and maritime AI: robust ML for marine time series, virtual sensors, and visual analytics.
• Representation learning and efficient inference: self-supervised learning, hybrid modelling, dynamic input selection, and resource-aware ML.

Current Roles

• Tenure-track Assistant Professor, University of Rostock, Institute for Visual and Analytic Computing
• Journal Editor, ML subgroup, Journal: Künstliche Intelligenz (KUIN)
• Assistant Professor, University of Copenhagen, Department of Computer Science (secondary 10% employment)
• Research Affiliate, Pioneer Centre for AI
• Member, KI-MV Network for Artificial Intelligence

Selected Projects

• Global Wetland Center (Novo Nordisk Foundation): machine learning and Earth observation for wetland monitoring.
• DeReEco (Villum Synergy): deep learning and remote sensing for ecosystem dynamics.
• FirePrev (EU): data-driven support for prioritizing fire prevention.
• IDAS (The Danish Industry Foundation): supporting integration of research into industry.