Jan Rolfes

Most decisions that are taken in modern society are prone to various kinds of uncertainty. For example operating a modern power grid requires to take the fluctuations of renewable energy sources into account. Thus, it is essential to study how these uncertainties affect our decisions and how better decisions can be made, based on the best data and expert knowledge available. To this end, the main areas of research considered are distributional robustness and data science. The former allows to protect a decision against likely but unwanted events such as unexpectedly calm wind, whereas the latter allows to incorporate data-driven relations, e.g. how weather affects the energy production in a whole area. By incorporating uncertainties, one aims to derive better decisions in other fields such as economics, electrical, chemical or vehicular engineering as well as metric geometry.