I am post-doctoral statistician at McGill University, Montreal, in the Department of Epidemiology, Biostatistics and Occupational Health. I am supervised by Aurélie Labbe and David Stephens. We are developing Bayesian methods for analysing data from gene expression and genome-wide association studies.

Background
I was as an undergraduate at Churchill College, Cambridge, where I studied maths. Subsequently, I trained with David Balding at Imperial College, London, for a PhD in statistical genetics.

Research
With David Balding, I developed a fast method for doing genome-wide inference with linear mixed models. Similar work has since been published by other authors. However, the software I developed for my thesis is available in the MixABEL component of GenABEL.

Following my PhD, I worked in the Biostatistics group at Imperial for two and a half years, with Maria De Iorio, Tim Ebbles and Sylvia Richardson, developing a Bayesian approach to the analysis of complex biofluid Nuclear Magnetic Resonance (NMR) Spectra. Jie Hao, a co-postdoc on this project, has written an easy to use R package based on a C++ implementation of the model we developed. Her software, BATMAN, can be used to estimate the concentrations of metabolites in complex biofluids automatically from NMR spectral data. The package is freely available from Tim Ebbles's website.

Membership of Professional Organisations