Current Research

Our group focuses on the development of multiscale, multiphysics modeling and simulation methods and tools that help biologists build, simulate and analyze complex biological systems, simulate their dynamics and analyze their functions. Typical biological models include gene expression models, protein interaction networks, and cell cycle models. We are paricularly interested in applications where multiple scales and multiple physics are presented, and has to be modeled in a hybrid way that include both discrete and continuous variables, deterministic and stochastic equations.

We work at the interface of mathematics, computer science, biology and other related subjects. Due to the interdisciplinary feature, we collaborate with other groups with different background.

Our projects are currently funded by NIH and NSF.

Cell Cycle

Mitochondria Modeling

Chemotaxis

Previous Research

Sensitivity and Uncertainty Analysis

Stochastic Simulation