Christof Schütte`s research activities focus on data-driven modelling, simulation and optimization of complex processes with applications mainly to the life and social sciences.

Christof Schütte has also worked on:

• Modelling, simulation and optimization for multiscale processes,
 

• Transfer operator appoach to metastable processes,
 

• Model reduction, statistical learning, timeseries analysis,
 

• Stochastic optimal control and optimal change of measure,
 

• Uncertainty quantification and Bayesian inverse problems,
 

• Stochastic particle systems and agent-based modelling.