Ziqiao Wang develops statistical methods to understand how genetics, genomics, and environmental factors together drive human disease, with a focus on polygenic scores, gene-environment interactions, and family-based study designs. His lab creates integrative omics approaches that combine individual-level and summary-statistics data across multiple omic and spatial datasets, with applications in cancer risk prediction, cardiovascular disease, and childhood developmental disorders.