Our laboratory is focused on developing computational approaches to address critical challenges in Systems Medicine where we apply network-based models on multi-omics data to understand complex diseases at the systems level. We are particularly interested in exploring the ways in which genomic / proteomic technologies coupled with computational approaches drawn from AI, machine learning, graph theory, linear algebra, and operation research can transform cancer research, leading to new biological insights and revolutionizing clinical practice.