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In August, Professor Nadja Klein was jointly appointed to the Professor Methods for Big Data by the Department of Informatics and the Scientific Computing Center (SCC) at KIT. Previously, Prof. Klein was Professor for Statistics and Data Science at Humboldt-Universität zu Berlin.
At SCC, Prof. Dr. Nadja Klein leads the newly established research group Methods for Big Data (MBD), which develops novel statistical and mathematical techniques for the quantification of uncertainties in statistical and machine learning by leveraging Bayesian statistics. MBD also tries to make models more robust and data-efficient via the integration of prior knowledge. The research activities of the MBD group focus on both theoretical and empirical aspects as well as on interdisciplinary projects where theoretically-based methods are tailored to applications. Further details about the group’s activities can be found at kleinlab-statml.github.io.