My primary interest is the analysis of high-throughput gene expression data.

Observations of gene expression inform our understanding of how genes regulate protein profiles and biology within a living system. Understanding how transcript abundance can vary with biological condition can greatly enhance our understanding of the mechanisms of disease and other biological contexts.

My work integrates observations of gene transcript abundance with genetic sequence, protein profiles and phenotype descriptions to understand how gene transcript abundance is regulated, inherited and the biological consequences of transcript abundance variation.

My methodological interests include statistical models of gene expression data, data mining and classification tools, unsupervised methods for regulatory element identification and eQTL analysis.

There is an active community of researchers utilising expression profiling methodology based at the Wellcome Trust Centre for Human Genetics, we are currently developing a shared resource.