We develop computational methods for the simulation and analysis of complex biological and technical systems. Most of our research projects are located in the broad area of stochastic modeling with a focus on efficient simulation methods for discrete models, stochastic hybrid models, parameter estimation, mean-field analysis, and reinforcement learning in the context of discrete-event simulation.