We seek to quantify and mitigate the harms of cancer overdiagnosis and overtreatment. To this end, we combine biologic, clinical and population data with a variety of mathematical and statistical tools. Our work is of cross-disciplinary nature, and we closely collaborate with clinicians, biologists, and epidemiologists. Examples of ongoing projects include:
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- Estimating the extent of breast cancer overdiagnosis at the population level
- Developing decision support tools for early-stage breast cancer patients
- Uncovering the evolutionary dynamics of cancer initiation and progression
- Leveraging radiomic trajectories for disease prediction
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