Our research is to understand the evolution and adaption of human regulatory networks, with a focus on the impact of these processes on human health and disease. In particular, we investigate the evolutionary model of mobile elements (or transposable elements) and their roles in basic biology and cancer, including their genetic and epigenetic regulation.
We use integrative and systems methods. We develop statistical and computational algorithms to explore the human genome, to integrate cross-species comparative and high-throughput genomics data. We test our hypothesis and validate our predictions in the wet lab.
Our interests span areas of genomics, epigenomics, evolution, computation, systems biology and many more. We also have a general interest in large data integration, including developing tools for analyzing high-throughput next-gen sequencing data, including integrating genetic variant data and epigenetic landscape.