I work on real-time continuous bioacoustic monitoring of ecosystems. This has included developing and deploying robust acoustic monitoring units to the field, and interpreting the audio data with machine learning approaches to quantify the biodiversity of a region.
A network of these sensors is deployed in the Stability of Altered Forest Ecosystems (SAFE) Project, located in the tropical rainforests of Borneo, to help understand the effect of changing land use upon local wildlife. You can listen to audio from our acoustic monitoring network at the SAFE Acoustics website.
I am leading a project, Bugg, exploring commercialisation of the eco-acoustic monitoring technology developed as part of my research.
I am also involved with work developing tools and approaches for cross-disciplinary highly comparative time-series analysis (hctsa), including the analyses behind the CompEngine website.
Visiting lecturer for Innovation Design Engineering (IDE) and Global Innovation Design (GID) M.A. / M.Sc. joint courses at Imperial College London and the Royal College of Arts.
et al., 2021, How index selection, compression, and recording schedule impact the description of ecological soundscapes, Evolutionary Ecology, Vol:11, ISSN:0269-7653, Pages:13206-13217
et al., 2020, SAFE Acoustics: an open-source, real-time eco-acoustic monitoring network in the tropical rainforests of Borneo, Methods in Ecology and Evolution, Vol:11, ISSN:2041-210X, Pages:1182-1185
et al., 2020, Characterising soundscapes across diverse ecosystems using a universal acoustic feature set, Proceedings of the National Academy of Sciences of Usa, Vol:117, ISSN:0027-8424, Pages:17049-17055
et al., 2020, A self-organizing, living library of time-series data, Scientific Data, Vol:7, ISSN:2052-4463