Mathematical modeling
We use models to formalize biological hypotheses, identify important mechanisms, and generate predictions that can be tested against experimental and clinical data.
Integrated mathematical oncology
Mathematical models of cancer ecology and evolution
We develop theory and computational models in collaboration with experimental and clinical researchers to study tumor heterogeneity, treatment response, and resistance.
Research approach
Theory, biological context, and collaboration
Our work combines mathematical methods, ecological and evolutionary thinking, and sustained interaction with experimental and clinical researchers.
Cancer ecology and evolution
We study how interactions among cancer cells, normal cells, the microenvironment, and treatment shape tumor dynamics and selection.
Collaborative research
We develop research questions and models in close interaction with experimental biologists and clinical investigators.
Our approach
Models become most useful when they are developed in close dialogue with experiments and clinically meaningful questions.