Computational Methods for Studying the 3D Organization of the Human Genome

Our lab develops computational methods to understand the genetic and epigenetic bases of gene regulation mainly in human immune cells. We are particularly interested in the analysis and modeling of the 3D genome organization from high-throughput chromatin conformation capture data to understand how changes in this 3D structure affect outcomes such as development, differentiation, and disease progression. We also have ongoing interests in systems-level analysis and reconstruction of regulatory networks, inference of enhancer-promoter contacts, predictive models of gene expression, analysis of single-cell data, as well as integrative, comparative, and high-resolution analysis of chromosomes conformation data such as Hi-C and HiChIP.