We study the associations between key components in the epigenome to understand how its perturbation can lead to cancer. Our team works to identify factors contributing to cancer mutation occurrence in DNA, to discover molecular mechanisms of how mutations and covalent modifications affect nucleosomes and chromatin, their interactions, stability and dynamics. We apply and design computational methods that integrate hypothesis- and data- driven approaches, including machine learning/deep learning, molecular modeling and molecular dynamics simulations.