Unlike experimental work, which tends to be highly specialized due to its reliance on niche expertise with specific devices and assays, mathematical modeling relies on broadly applicable mathematical techniques and ubiquitous physical principles that can readily be applied to almost any system of interest. As such, while our team’s experimental efforts focus on using a multiscale approach to explore how biology and the environment influence one another, our theoretical portfolio is much more diverse. The multifarious areas in which our team has expertise include:

  • Collective motion (e.g., flocking)
  • Fractals
  • Information theory
  • Liquid kinetics
  • Network science
  • Pattern-forming systems
  • Single-polymer dynamics
  • Spin glasses

We are always interested in branching out to new research areas and applications, so feel to contact us with problems of any scientific scope that might benefit from modeling techniques such as:

  • Agent-based simulations
  • Boolean simulations
  • Rule-based modeling
  • Statistical analysis
  • Differential equation modeling
  • Linear stability analysis
  • Graph theory

We welcome any modeling challenge, great or small. Contact our team to see if an EGSB solution is right for you!