About me
I am a researcher at the Norwegian Institute for Nature Research with a strong background in spatial statistics, computer vision, and AI. My research explores how biodiversity and ecological processes vary across space and scale, while also considering the human activities and decisions that shape these patterns. I use deep learning with bioacoustic and remote sensing data to support large-scale biodiversity conservation.
Research Focus
AI & bioacoustics
Applying deep learning to bioacoustic data for biodiversity monitoring.
Computer vision
Using visual and remote sensing data to understand environmental change.
Spatial statistics
Modelling how ecological patterns and processes vary across space and scale.
Citizen science
Examining how people, human activities, and reporting biases shape biodiversity data and conservation decisions.
Languages
🇫🇷 French • 🇬🇧 English • 🇳🇴 Norwegian
🎯 Fun Facts
🔬 About My Research
Research in action
TABMON Coordinator
A Biodiversa+ project establishing a transnational acoustic biodiversity monitoring network of more than 100 sensors across Norway, the Netherlands, France, and Spain. We combine AI and acoustic data to study bird migration and generate biodiversity indicators for EU environmental policy.
ROaR Work-package lead
Developing methods for training acoustic models with few data.
HABLOSS
Studying nature habitat loss using remote sensing data.
BEAGLE Work-package co-lead
Co-leading a work package extending biodiversity data collection across eDNA, acoustic, and camera-trap modalities in an EU Horizon project.