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:

      • 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