What rules govern biological processes and systems? How can we use these rules to model a biological process? What happens when the system is perturbed? Mathematical modeling in biology is a powerful tool when combined with wet-lab experiments. The iterative feedback between the two can illuminate aspects of biological processes and systems that would not otherwise be evident. Testable predictions are the essence of modeling. This research thrust focuses on employing mathematical modeling to better understand and explore a broad range of phenomena across multiple length scales, from the atomistic to the cellular and organismal.