Research Interests

We are very excited about understanding a broad variety of evolutionary dynamics (financial markets, cancer, infectious diseases, human 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:

  • Misinformation
  • Social diversity
  • Vaccine compliance
  • Games in multiplex networks
  • 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
  • Mathematical models of social networks and spreading dynamics
  • Network-based health interventions
  • Gambling behavior in cryptocurrency-based online casio
  • Predicting crytocurrency market behavior by sensing social media
  • Eco-evolutionary dynamics of cryptocurriencs in global financial markets
  • Smartcontract and other applications