Professional summary
Lily is a data scientist specialising in environmental modelling and AI, combining domain expertise with advanced machine learning to deliver innovative, data-driven insights. She earned her PhD in 2023 from Lancaster University, where she developed novel data science approaches to modelling air pollution, and now works across environmental domains integrating diverse datasets, emulating and downscaling process-based models, and performing extreme value analysis. Skilled in Python and modern AI methods including large language models, Lily applies her technical capabilities to bridge scientific research and practical applications. She also helps lead AI developments within the Digital Research Group, guiding the adoption of emerging technologies to address complex environmental challenges.