Professor Wu's research interest lies in applying the power of statistical science to promote biomedical researches. In statistical genetics, he is developing novel statistical theory and methodology to analyze genome-wide association (GWA) data and deep (re)sequencing data to hunt new genetic factors for complex human diseases. In epigenetics, he is studying gene expression regulation mechanisms through chromatin interaction, and RNA silencing pathways in the developmental stages of germ-line cells. In clinical studies, he is establishing statistical models to predict carotid atherosclerotic plaque and stroke based on time series longitudinal data and survival data.

In undergraduate education, he is dedicated in attracting students’ interests in statistics. At the graduate level, Professor Wu focuses on teaching the essences of probability, mathematical statistics, statistical experimental design, quantitative genetics and bioinformatics, and establishing students’ research skills.