Published research
Differential allelic representation (DAR) identifies candidate eQTLs and improves transcriptome analysis
In comparisons between mutant and wild-type genotypes, transcriptome analysis can reveal the direct impacts of a mutation, together with the homeostatic responses of the biological system. Recent studies have highlighted that, when the effects of homozygosity for recessive mutations are studied in non-isogenic backgrounds, genes located proximal to the mutation on the same chromosome often appear over-represented among those genes identified as differentially expressed.
Determination of Tr1 cell populations correlating with distinct activation states in acute IAV infection
Type I regulatory (Tr1) cells are defined as FOXP3-IL-10-secreting clusters of differentiation (CD4+) T cells that contribute to immune suppression and typically express the markers LAG-3 and CD49b and other co-inhibitory receptors. These cells have not been studied in detail in the context of the resolution of acute infection in the lung.
Education and Qualifications
- Bachelor of Music – University of Adelaide, 1991
- Bachelor of Sciences – University of Adelaide, 2006
- Bachelor of Mathematical and Computer Sciences (Hons) - University of Adelaide, 2008
- Doctor of Philosophy – School of Medicine, University of Adelaide, 2018