Research Interests

We are very excited about understanding a broad variety of evolutionary dynamics (cancer, infectious diseases, cooperation) using mathematical modeling and computational approaches. We have a taste for simple proof-of-concept models that allow closed-form solutions, but also our work has a significant data-driven component. We often integrate our math models with empirical data to unleash their regenerative and predictive power.

Our current research topics include:

  • Clinically relevant models for understanding normal and pre-malignant hematopoiesis
  • Cancer immunotherapy
  • Collateral sensitivity cycling
  • Targeting cancer dormancy
  • Multi-scale population dynamics of pathogens on the levels of within-host and between-host
  • Role of latency in HIV evolution and dynamics
  • Behavioral epidemiology
  • Climate change
  • Vaccine compliance
  • Environmental degradation
  • Mathematical models of social networks and spreading dynamics
  • Network-based health interventions