We are interested in the analysis and modeling of the three-dimensional chromatin structure from high-throughput sequencing experiments. We develop methods that are based in statistics, machine learning, optimization and graph theory to understand how changes in the 3D genome affect cellular outcome such as development, differentiation and gene expression. We have ongoing interests in the systems level analysis and reconstruction of regulatory networks, inference of enhancer-promoter contacts, predictive models of gene expression and integration of three-dimensional chromatin structure with one-dimensional epigenetic measurements in the context of cancer, malaria, asthma and several autoimmune diseases.
Assistant Adjunct Professor
Bioinformatics and Systems Biology
BMI Research Area(s)
Brief Research Description
Epigenetics, genomics, chromatin structure, 3D/4D genome/nucleome, statistical methods for analysis of Hi-C and HiChIP data, gene regulation in immune cells, cancer genomics