Professor Daniel Rudolf

„The development and theoretical evaluation of algorithms, including those for extracting information from data, is a central aspect of my research. From a mathematical point of view, it is particularly appealing that my research group works at the interface between stochastics, analysis, algebra and numerics. This constantly opens up new perspectives on existing methods, techniques and research questions. For example, my team is involved in the construction and theoretical analysis of Monte Carlo methods for the simulation of posterior distributions. These are used to quantify uncertainties and provide a crucial building block for statistical predictions in the context of machine learning.“