Numerical Methods for Stochastic Systems
Algorithms with provable accuracy and efficiency for challenging scientific problems.
Department of Mathematics • University of Manchester
Professor in Applied Mathematics
I develop and analyze numerical methods for stochastic systems and Bayesian computation, with applications in biology, materials science, geosciences, and statistics.
What I work on
Bayesian Computation & Inference
Recovering hidden parameters and structure from indirect or noisy data.
Applications in Science & Engineering
Quantifying confidence in predictions for decision‑making under uncertainty.