Leon Shi is a research associate at Chinese University of Hong Kong. Trained as a bioinformatician, he is interested in leveraging cutting-edge computational approaches, large-scale omics data, and population cohorts to elucidate the genetic architecture of complex diseases including cancer and diabetes. His current research focuses on the genetics of diabetic complications, with particular emphasis on diabetic kidney disease (DKD) in East Asian populations. His work aims to deepen understanding of the disease aetiology while unravelling population-specific risk factors and potential therapeutic targets, ultimately contributing to precision medicine approaches in diabetes care. His methodological expertise includes genome-wide association analysis, polygenic risk scoring, machine-learning modelling, and multi-omic data integration—techniques he employs to address critical questions in complex disease genetics.