Tom is a research assistant whose work focuses on the application of machine learning to acoustic datasets to investigate species distributions, abundance, and behaviour, particularly in relation to changing human and environmental pressures. At LCNR his work focuses on analysing data and model refinement for two main projects: one looking at remnant Caledonian pine forests in western Scotland and another investigating biodiversity patterns across a land-use gradient of habitats around Oxford.
He holds an MSc in Ecology and Data Science at UCL, where his research explored the use of unsupervised machine learning approaches to improve classification of acoustically similar bird calls in Nepal. Before his academic career, he worked in industry as a project manager and consultant, contributing to a consortium of marine habitat restoration projects across Europe.
Related Projects
The role of regenerative farming for biodiversity and ecosystem functioning
We utilise both standardised and cutting-edge methods to explore biodiversity and ecosystem functioning along a land use gradient to better understand the role of regenerative farming.
Expanding native forest in Scotland: small-scale mechanisms, landscape-scale responses
Experimental and landscape-scale data collection to understand above and belowground drivers of and responses to native forest expansion in the Scottish Highlands
Related Landscapes
Oxfordshire
With its active network of nature recovery groups, Oxfordshire presents a unique opportunity to test and showcase a portfolio of different ecosystem restoration strategies, to become a model county for nature recovery. Our work in this landscape aims to build a community of practice between the University and local practitioners, and will also form a […]
Scottish Highlands
Scotland is renowned for its distinctive and diverse range of landscapes, which are a significant part of the country’s natural and cultural heritage. The environment has been shaped by interconnected human and natural processes over thousands of years and includes built heritage, ancient woodlands, wildlife and native species, art and literature, folklore, language and traditions […]
