Figuring out what data can tell us about hospitals.

My background is in architectural and energy engineering. I'm a PhD researcher at the Energy Efficient Cities initiative, University of Cambridge, and Research Lead at CompliMind, where the same questions arrive with deadlines attached.

The work sits at the intersection of energy, data and decision-making: open-source data and machine learning on one side, interviews with NHS estates professionals on the other, and a way to prioritise retrofit across an estate too large to survey building by building.

My research improves the energy performance of NHS hospital buildings in England using open-source data and machine learning. I combine large-scale quantitative analysis with insights from NHS estates professionals to understand both how buildings perform and how retrofit decisions are made in practice.

I'm developing data-driven models and a prototype decision-support approach to help estates teams identify and prioritise interventions across complex hospital estates, with the long-term aim of supporting scalable decarbonisation.