What we do

We follow the Systems Biology approach, where biological phenomena are seen as resulting from the interactions of its constituents. Interpreting these phenomena requires the use of quantitative methods and computation. We work on many aspects of Computational Systems Biology:

  • Development of modeling and simulation software (like COPASI)
  • Methodology for parameter estimation and sensitivity analysis
  • Reverse-engineering biological networks (top-down modelling)
  • Standards for systems biology
  • Multiscale modeling and simulation
  • Methodology for nonlinear dynamics analyses

We are also involved in modeling specific biological phenomena:

  • The network of iron absorption, metabolism and signaling in mammals
  • Mixed species Candida albicans-bacterial biofilm formation

Where we work

We work at the Center for Cell Analysis and Modeling, part of the University of Connecticut School of Medicine. Our academic affiliation is with the Department of Cell Biology.

A great amount of our work is done through collaborations