I lead an interdisciplinary research group in the Department of Life Sciences under the university's Imperial-X AI initiative. We create new sensor systems and data analysis approaches to build next-generation biodiversity monitoring systems.
We focus on acoustic monitoring of natural environments, developing novel real-time sensing systems (https://www.bugg.xyz) and AI to extract ecological insight at scale from audio data.
I have led the deployment of large-scale autonomous biodiversity monitoring networks in Borneo’s tropical forests (http://acoustics.safeproject.net) as well as across the entire span of Norway (https://thesoundofnorway.com). Applications of my work include conservation, ecology, pest control, supply chain transparency, and more.
PhD opportunity (SSCP DTP)
I am advertising a project under Imperial's SSCP DTP on real-time acoustic monitoring of insect pollinators (full project description). Please contact me with informal enquiries, or see details on the DTP page for application guidance!
et al., 2023, Limits to the accurate and generalizable use of soundscapes to monitor biodiversity, Nature Ecology and Evolution, Vol:7, ISSN:2397-334X, Pages:1373-1378
et al., 2023, Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions, Functional Ecology, Vol:37, ISSN:0269-8463, Pages:959-975
et al., 2023, Can CNN-based species classification generalise across variation in habitat within a camera trap survey?, Methods in Ecology and Evolution, Vol:14, ISSN:2041-210X, Pages:242-251
Cretois B, Rosten CM, Sethi SS, 2022, Voice activity detection in eco-acoustic data enables privacy protection and is a proxy for human disturbance, Methods in Ecology and Evolution, Vol:13, ISSN:2041-210X, Pages:2865-2874
et al., 2022, Biodegradable sensors are ready to transform autonomous ecological monitoring, Nature Ecology & Evolution, Vol:6, ISSN:2397-334X, Pages:1245-1247