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 studies the unusually long-lived Heliconius butterflies to uncover genetic mechanisms behind extended lifespan. By analysing DNA from butterflies across their lifespan, it aims to reveal evolutionary strategies for longevity that may inform future human ageing therapies. Understanding diverse animal lifespans could guide healthier ageing — without mythical “Fountains of Youth.”