Data Science in healthcare and industrial applications

EPSRC-funded multidisciplinary initiative using ICU vital signs data from GOSH & UCLH to develop mathematical physiology models, inform clinical decisions, and improve patient outcomes.

“Leveraging the potential of advanced machine learning techniques to support clinical decision-making during emergency transport of critically ill children to paediatric intensive care”

Developing accountable algorithms to quantify computational uncertainty, improve transparency, traceability, and efficiency in high-fidelity numerical simulations for industry and decision-making.