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People » Academic and research

This page lists the main research interests of Department staff. For more detailed information, follow the links to individual home pages.

Jump to: Faculty · Research Fellows · Emeritus/Honorary · Associates

Academic staff (Faculty):

Research Fellows:

Dr Jake Carson rsz_1jake.jpg Exact inference for Partial Differential Equations
Mr Kevin Engelbrecht  rsz_kpe.jpg Stochastic control theory and BSDEs to the pricing and hedging of life insurance contracts
Dr Daphne Ezer  rsz_ezer.png Network inference algorithms and computer-aided experimental design
Dr E Hernandez

Stochastic control in continuous time, and fractional differential equations and their connection with probability theory

Dr Ed Knock    
Dr Matt Kusner  rsz_mattkusner.jpg State-of-the-art machine learning models, and models that are often used to solve real-world problems
Dr Matt Moores rsz_moores.jpg Approximate Bayesian Computation, Bayesian Inference, Computational Statistics.
Dr Linda Nichols

Statistical analysis of large observational cohort studies and clinical trials and interested in the use of electronic patient records for research.

Dr Renata Retkute  rsz_1573064.jpg A fine-scale spatial dynamics and Bayesian inference for Neglected Tropical Diseases and Avian Influenza
Dr Nick Tawn  rsz_nicholas_tawn.jpg

Computational Statistics

Dr Panayiota Touloupou rsz_panayiota.jpg Bayesian inference and model selection for partially observed stochastic epidemics

Emeritus Professors:

Professor John Copas Statistical modelling and inference. Models for censoring and selection bias. Local likelihood. Meta-analysis. Applications, particularly in medicine and criminology.
Professor Tony Lawrance Statistical analysis and nonlinear modelling of financial time series.

Honorary Professor:

Dr Tim Davis Honorary Professor
Professor John Fox Honorary Professor
Professor Thomas Nichols Honorary Professor
Dr David Rossell Honorary Associate Professor

Associate Fellows:

Dr David Croydon Probability theory
Dr John Fenlon
Dr Heather Turner Statistical modelling and statistical programming using the open source software R