Modeling in Cancer and Infectious Disease
My laboratory seeks to discover how cells migrate and how tumors grow, with a major focus in brain cancer progression.
In particular, we try to understand how the complex interplay of biochemical kinetics, diffusive transport, thermodynamics, and mechanical forces lead to disease progression, and use the understanding to identify effective treatment strategies. We've recently applied this approach to build a clinically-tested model for SARS-CoV-2 viral replication.
We use three approaches in our research:
These approaches are integrated so that precise quantitative measurements of physical quantities, such as forces and velocities, can be compared directly to model predictions.
We also collaborate with genome engineers, cancer and immune biologists, and clinicians to implement an integrated, multidisciplinary approach.