Inverse problems Developing statistical tools for problems in applications such as medical imaging and industrial safety, where unknown parameters are determined from observations and measurements
Instrumented infrastructure Developing new statistical methods for sensor data to improve how infrastructure is delivered, maintained and controlled
Adaptive MCMC Optimising sampling algorithms used for genomics, infectious diseases, climate, and financial and industrial models
London air quality Developing machine learning algorithms and data science platforms to understand and improve air quality over London
Estimating system health from streaming sensor data Developing methods to estimate the health of engineering systems from real-time sensor data, to make predictions about the health in the future