Complex networks, comprised of individual elements that interact with each other through
reaction channels, are ubiquitous across many scientific and engineering disciplines …

Continuous-time Markov chain models are often used to describe the stochastic dynamics of
networks of reacting chemical species, especially in the growing field of systems biology …

Stochastic effects play an important role in modeling the time evolution of chemical reaction
systems in fields such as systems biology, where the concentrations of some constituent …

This thesis consists of several contributions to the numerical analysis of stochastic
differential equations (SDEs) and their statistics, illustrated with biochemical models and a …

A problem central to many scientific and engineering disciplines is how to deal with noisy
dynamic processes that take place on networks. Examples include the ebb and flow of …