Our research interest are deliberately broad, and include:
- Methods for assessing the similarity and differences in susceptibility alleles related to disease phenotypes.
- Modelling ancestral relationships in order to infer natural selection.
- Understanding the genetic basis of susceptibility to infectious disease: Malaria.
- Understanding the genetic basis of susceptibility to autoimmune disease: Multiple Sclerosis.
- Bayesian approaches to mining Big Data for correlations.
- Approaches to inferring causal pathways through integration of genetics and genomics.
- Methods for inferring interactions between host, (vector) and parasite genetics.
- Statistical approaches to using molecular data to stratify individuals for clinically relevant outcomes.