My research uses artificial intelligence to detect water pollution by analysing DNA traces left by aquatic species. Instead of relying on visual signs or costly expert identification, supervised machine learning reads species patterns to determine water quality. The method is faster, cheaper, and more accurate than traditional analysis.

This research examines the ecological and social feasibility of rewilding Britain, one of the world’s most nature-depleted countries. By modelling where native species could thrive and surveying public attitudes, the project aims to create a national roadmap for restoring lost biodiversity and rebuilding Britain’s fragmented ecosystems.