Statistical Genomics

Our group has three main research themes:

1. Theory for Statistical Genetics Inference. Projects under this theme focus on studying the statistical properties and validity of approximate inferential techniques used in the field of genome-wide association studies (GWAS) from SNP chip or whole genome sequence data.
    
2. Trans-Ancestry Genomics. Projects under this theme focus on developing new methodologies and software for GWAS analyses including under-represented ancestries.
    
3. Novel Inference from Biobank Data. Projects under this theme focus on developing methods to diagnose and correct ascertainment biases in biobank data collection. Other projects aim at developing models to detect genetic and phenotypic structures in the population that can inform human behaviours influencing health outcomes (e.g. migration, assortative mating, inbreeding).