Funktion und Aufgaben:

Wissenschaftliche Interessen:

• Land Use and Land Cover
• Artificial Intelligence, Foundation Models finetuning
  
• Hyperspectral imagery
  
• Instrumentation for in situ forests monitoring

Karriere:

• Postdoctoral Researcher at GFZ (Potsdam, DE)
• Geospatial Consultant (Forest Resources Assessment Team) for the Food and Agriculture Organization of the United Nations (remote)
• Teacher at Le Wagon Data Science Bootcamp (Berlin, DE)
• Engineer and Scientific Liaison Officer at the Princess Elisabeth Antarctica Research Station (Brussels, BE & Antarctica).
• Doctoral Researcher at KU Leuven (Leuven, BE)

Werdegang / Ausbildung:

• BSc., MSc., PhDin Bioscience Engineering (KU Leuven, BE)

• Le Wagon Data Science Bootcamp (Berlin, DE)
  

Projekte:

• FAO-FRA-RSS-Map: Forest Land Use Classification and Mapping using AI models trained with the Forest Resources Assessment (FRA) Remote Sensing Survey (RSS) dataset of the Food and Agriculture Organizaiton of the United Nations (link)
• StrucNet: a global network for automated vegetation structure monitoring (link)
• HYPER-AMPLIFAI: harmonizing visual foundation models of AI with hyperspectral imagery (link)

• Autonomous Robots for Enhanced Biomass Quantification: collaboration with Max Polzin from the CREATE Lab (link) of the Ecole Polytechnique de Lausanne (EPFL, Lausanne, CH)