We use mathematical and computational models to investigate challenging research problems, to help formulate new hypotheses, and to find new paths for tackling these challenging and important problems.

We use traditional experimental to test our mathematical models, and to investigate new leads and new ideas that have come from our various computational analyses.

We are very interested in projects where our approach will yield important, new, understandings of fundamental biology relevant to disease, including new insights that improve the treatment of disease. To date, we have focused primarily on cancer, but we are more broadly interested in math-informed, systems-based, projects that tackle fundamental aspects of biology relevant to disease.