Elisabeth Bergherr appointed to digitization professorship
The new professor for Spatial Data Science and Statistical Learning at the Faculty of Business and Economics at the Georg-August-Universität Göttingen is Dr. Elisabeth Bergherr as of October 1, 2020. Before moving to Göttingen, she led the AG Computational Biostatistical Modeling group as well as a Freigeist Fellowship junior research group at Friedrich-Alexander-Universität Erlangen-Nürnberg.
Her research focuses on method development at the interface of statistics and machine learning, so-called statistical learning, as well as Bayesian methods. The general goal is always to develop explainable models for content-related problems.
In teaching, the professorship is particularly involved in the methodological training of students in quantitative methods. In the winter semester, for example, Prof. Bergherr offers the basic statistics lecture for bachelor students and the lecture on spatial statistics for master students.
After her statistics studies at LMU Munich and her PhD in Göttingen in 2013 (supervisor: Prof. Dr. Thomas Kneib; topic of the thesis: "Bayesian Structured Additive Quantile Regression"), Elisabeth Bergherr held postdoctoral positions at the Universities of Göttingen, Liverpool and Erlangen-Nürnberg.
She is also an elected member of the Executive Committee of the Statistical Modelling Society and Associate Editor of the journal Statistical Modelling. Furthermore, she is the deputy head of the group "Statistical Computing" of the German Society for Medical Informatics, Biometry and Epidemiology (GMDS).
The professorship for Spatial Data Analysis and Statistical Learning is one of the digitization professorships funded by the state of Lower Saxony. The University of Göttingen and the University of Applied Sciences and Arts (HAWK) were successful in a first round of calls with their joint application for the "Data Science Region Südniedersachsen".
Further information can be found on the websites of the Chair.