About me

About me

I am a researcher at the Norwegian Institute for Nature Research with a strong background in spatial statistics, computer vision, and AI. I do love to apply deep learning methods to bioacoustic and remote sensing data for 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 ecological patterns and processes across space and scale.

Citizen science

Working with crowdsourced data and correcting biases in opportunistic observations.

Languages

🇫🇷 French • 🇬🇧 English • 🇳🇴 Norwegian

🎯 Fun Facts

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BJJ Purple Belt Coach at Evolve Academy
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Powerlifting 160/110/190 kg (Squat/Bench/Deadlift)
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I love dogs and have a border collie
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Reading SF I love science fiction

🔬 About My Research

Selected current work

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.

📚 Articles

Cretois, Benjamin, et al. (2026). TABMON: Design and deployment of a transnational passive acoustic monitoring network for European birds. Methods in Ecology and Evolution, 17(6), 1867–1879.