The past century has seen tremendous progress in determining the biochemical and biophysical processes that constitute life. One exciting consequence of this understanding is the possibility of developing mathematical models of biological function that are accurate and even predictive. Professor Colvin's research uses a wide range of simulation methods to model biological systems at different levels. Much of his research uses molecular modeling to study biochemical problems, with a particular emphasis on modeling the activity of DNA-binding food mutagens and anticancer drugs. These methods involve computing the structures and energetics of biomolecules using either quantum or classical mechanics, and often require the use of supercomputers. More recently, his research interests have expanded to include simulations of biophysical and cellular processes, and using equations that describe the system as continuous (and sometime stochastic) dynamical systems.