- BA, University of Virginia
- MA, Mathematics, Duke University
- PhD, Mathematics, Duke University
There are two distinct branches to David Anderson’s research. First, he develops and analyzes new computational methods for the stochastic models that arise in the biosciences, especially cell biology. Anderson is currently most interested in solving for either expected values or their derivatives with respect to system parameters in the most efficient manner possible. Second, he studies how the underlying network structure of biochemical systems relate to their qualitative system dynamics (for both deterministically and stochastically modeled systems). He is particularly interested in discovering properties that are independent of the choice of rate constants, which are oftentimes difficult or impossible to know with precision.
Department of Statistics, University of Wisconsin–Madison