Biological systems manage their complexity and preserve robust functionality in remarkable ways. This is particularly impressive at the subcellular level, where function is achieved and regulated despite stochastic effects that dominate at the microscopic (molecular) level. To gain deeper insight into this assertion it is important to examine both specific model systems and generic models of biological systems and processes, including their organizational principles, structure, dynamics and function.

My current research focuses on microscopic (molecular-level) models of gene expression and gene regulation. I am particularly interested in the origins, manifestations and consequences of stochasticity in such systems. I am also interested in the organizational principles behind the structure, dynamics and function of biological systems and processes, and how such principles might have been shaped by evolution.