School of Mathematical Sciences


Our research in statistics is at the interface between methodology and applications, because developing statistical methods which are of practical use is essential to influence the discipline of Statistics, as well as other scientific disciplines, policy makers and industry.

Research interests

High-dimensional multivariate statistical modelling
Dr Griffin, Dr Liverani

Applied Bayesian statistical inference
Dr Coad, Dr Liverani, Dr Pettit

Statistical models for infectious diseases and spatio-temporal modelling
Dr Griffin, Dr Liverani

Adaptive designs in clinical trials
Dr Coad

Design and analysis of computer experiments
Dr Maruri-Aguilar

Complex network inference and analysis
Dr Bianconi, Prof Latora, Dr Nicosia


We hold a regular seminar series in Statistics during term time.

Group members

(Images from Griffin et al. in Lancet Infectious Diseases, 16:4 (2016) p 465-472 and Okell et al. in Nature communications 3 (2012): 1237.)