As a computational biology lab in the Division of Biomedical Informatics, our research focuses on utilizing and integrating large-scale molecular, clinical and phenotypic data to understand connections between genotypes and phenotypes for human diseases, such as premature birth and genetic disorders associated with congenital heart defects.

Through the development of technologies and infrastructures, huge amount of molecular, clinical and phenotypic data are been generated and available for disease studies, such as different types of omics data and electronic health records. Our goal is to develop and apply computational, statistical and machine-learning approaches to efficiently and effectively analyze the data, so that the associations between genetic variants and diseases can be identified and understood.