About

James carried out his PhD research at the Department of Mathematics at Imperial College. It involved analysis of free text descriptions of incidents that had occurred in the NHS, using text mining and multivariate statistical methods. His first postdoctoral position was at King’s College, carrying out statistical analysis for a genome-wide association study of lupus. 

He then returned to Imperial, developing Bayesian hierarchical models for the NCD Risk Factor Collaboration. This has led to the publication of estimates of body-mass index, height, blood pressure and diabetes for countries around the world.

James came to Kent in 2017 and continues to develop more sophisticated Bayesian models, as well as returning to genetic analyses and text mining. 

Research interests

Developing Bayesian hierarchical models and applying them to data on risk factors for non-communicable diseases. James is also interested in applying multivariate statistical methods to genetic data, and in developing text mining methods.

Supervision

Please email me if you have any queries

Professional

Member of RSS East Kent Group.

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