May is a building scientist with a strong interest in health-environmental data science for a net-zero built environment. May's research focuses on decarbonisation, housing inequality, fuel poverty, climate change mitigation/adaptation, and indoor environmental quality — across both UK/EU and Southeast Asian contexts. She specialises in mixed-methods research for building performance assessment, combining building/stock-level simulation, data-driven machine learning, field measurements, and surveys. Prior to her academic career, May spent a decade working on Building Information Modelling (BIM) projects in Singapore before transitioning fields.