Machine Learning Utilising Genetic Structure

The project will seek to investigate the deep connections between genetic structure (population genetic processes, linkage disequilibrium, population structure) and the ability to computationally detect genetic variants responsible for variation in traits. From the perspective of a supervised learning problem, the aim is to characterise and leverage the structure in genetic feature space to better associate phenotype to genotype.