Research Interests

Most of my research is designed to contribute to understanding the role of genetic and environmental factors, and their interactions, in the development of complex diseases. My work covers problems on the full spectrum of research in this field, from theoretical statistics to data analysis.

Statistical genetics problems of interest focus on applications of next-generation sequencing technologies, large scale data integration, likelihood applications to complex trait gene detection, genome-wide strategies for testing gene-gene and gene-environment interaction, methods for analysing data at the gene/pathway/network level.

The applications I work on focus on finding the genetic and environmental components of asthma and related phenotypes, and diabetes and its complications. I am also interested in functional genomics and the analysis of gene expression data.

Mathematical statistics topics I am working on include Bayesian and frequentist measures of missing data and dependence, general measures of information, and artificial likelihoods for hypothesis testing.