Research
Cancer Evolution and Ecology
Our research group investigates cancer ecology and evolution through mathematical models and collaborations with experimental cancer biologists. We focus on understanding how advanced tumors develop resistance to treatments through somatic evolutionary processes.
Key Research Areas
Tumor Heterogeneity
We study the diversity within tumor populations and how this heterogeneity contributes to treatment resistance and disease progression.
Evolutionary Dynamics
Our work examines natural selection within the cancer ecosystem, modeling how cancer cells adapt and evolve in response to selective pressures such as therapy and immune response.
Mathematical Modeling
We develop and apply mathematical and computational models to understand cancer progression, predict treatment outcomes, and identify new therapeutic strategies.
Treatment Resistance
A major focus is understanding the mechanisms by which tumors develop resistance to treatments, with the goal of developing evolution-informed therapeutic approaches.
Collaborative Research
Bone Tumors
In collaboration with Conor Lynch, we investigate the evolutionary dynamics of bone tumors and their microenvironment.
Lung and Breast Cancer
Working with Andriy Marusyk, we study the evolution of lung and breast cancers, particularly focusing on treatment resistance mechanisms.
Approach
Our research integrates:
- Mathematical and computational modeling
- Evolutionary biology principles
- Ecological theory
- Experimental validation through collaborations
- Clinical relevance and translational potential
Publications
For a complete list of publications, please visit my Google Scholar profile.