The research activities of Prof. Czado (born 1959) concentrate on the field of statistics and data science. Her focus is on the modeling of complex dependencies including regression effects and time / space structures with the help of Vine copula-based models. See Vine Copula Models for further details and developments. These allow the construction of high-dimensional multivariate distributions for data that contain different asymmetrical dependencies for each pair of variables. Computer-aided procedures for selection, estimation and adaptation to complex data structures are developed / optimized. Applications can be found in finance and insurance as well as in engineering, geosciences and life sciences. There are a number of collaborations with various international scientists and industry representatives. In 2019 Prof. Czado published a textbook on analyzing dependent data with Vine copulas.