PhD research

My work pulls elements from multiple STEM disciplines across Atmospheric Chemistry, Epidemiology, Computer Science and Sociology. I research the impact of air quality on human health, with particular interest in the context of social inequity in urban areas. My current research focuses on Greater London and vehicle-emitted pollutants such as nitrogen dioxide and particulates. I work with large datasets and explore the applications of machine learning techniques, such as specific types of neural networks which can handle data across detailed spatial and temporal ranges.

Most recent poster

The Alan Turing Institute CDT Conference, November 2022

Academic background

I completed my BA and MSci in Natural Sciences (Biological) at the University of Cambridge, specialising in Chemistry and Atmospheric Chemistry for my final year. During my MRes with the AI4ER CDT, I studied the association between NO₂ air pollution exposure and human breast cancer incidence in London, using LSTM networks. Now hosted at the Centre for Atmospheric Science, I’m in the third year of my PhD project which explores machine learning applications in the study of air pollution and human health.