predicting the evolution of Cancer, one patient at a time.
Our team focuses on deciphering the mechanisms of cancer growth, progression and dissemination in each patient using a rigorous mathematical approach, with the objective of anticipating the future course of the disease.
We tackle cancer as a complex system, using rational tissue sampling and cancer genomics as the basis for data generation. We integrate the genomic information with mathematical and computational models of tumour evolution, with the aim of formulating clinically-driven hypotheses and test predictions that will impact the way we treat cancer.
