We are developing and implementing computational-experimental
methods to reverse engineer and analyze gene regulatory network
in microbes and higher organisms.


 
We are designing and constructing synthetic gene networks for a
variety of biotechnology and bioenergy applications. We are also
using engineered gene networks to study general principles
underlying gene regulation.

  We have also published papers on noise-enhanced sensorimotor function, coupled neural oscillators, human balance control and locomotion, dynamical control of biological systems, and nonlinear time series analysis.