Her primary research focus is statistical genetics. She has contributed to the identification of common genetic variants through genome-wide association studies (GWAS) with complex cardiovascular traits, particularly with plasma lipid levels. More recently, she investigates the role of rare genetic variation in plasma lipid levels using exome sequencing and whole genome sequencing. Furthermore, she leverages genetic variants to answer clinical questions such as predicting risk for disease and whether specific biomarkers are causal. Gina is an active member in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, the Global Lipids Genetic Consortium (GLGC), and TOPMed Program.