My research interests focus on the development and implementation of methods that allow the probabilistic investigation of complex system dynamics. Basically, I am working in the following four overlapping methodological domaines, often in the context of time-consuming determinisitic simulation codes and system observations or models consisting of a large amount of data.
Combining machine learning algorithms to perform
Uncertainty & Sensitivity Analysis
Using advanced analysis approaches to investigate complex systems with focus on system safety and risk measures
Complex Network Analysis
Using network analysis and representation approaches to investigate
Developping Bayesian approaches to detect and characterize multiple transition patterns in complex time series, such as paleo-climate observations