Wei Jiang, PhD

The human body is a complex system, which makes it extremely challenged to model how molecular components regulate the traits. With the development of sequencing technologies, data of molecular signals inside the human body are released and accumulating. The ultimate goal of his research is to develop a multi-omics data analysis framework to explore molecular regulatory mechanisms of complex traits, so that we can precisely control our health outcomes from different molecular signals.

His current research focus on developing statistical or computational methods for analyzing data from genome-wide association studies (GWAS). Genome contains the most fundamental information distinguishing each person, and GWAS directly investigate the relationship of our genomes to complex traits. He developed a series of methods for exploring replicable genetic factors, quantifying genetic contribution, and predicting genetic risks for complex traits based on GWAS data.