Welcome to the Chair of Uncertainty Quantification and Statistical Learning at the Research Center Trustworthy Data Science and Security (UA Ruhr) and the Department of Statistics (Technische Universität Dortmund). In addition to teaching graduate courses on Bayesian statistics and machine learning, we are involved in several research projects.
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|Prof. Dr. Nadja Klein||Group Lead||___________|
|Paul Bach||PhD Student|
|Guillermo Briseno-Sanchez||PhD Student|
|Tim-Moritz Bündert||Research Assistant|
|Ekin Celikkan||PhD Student|
|Clara Hoffmann||PhD Student|
|Maarten Jung||Research Assistant|
|Lucas Kock||PhD Student|
|Victor Medina-Olivares, PhD||Postdoctoral Researcher|
|Pallavi Mitra||PhD Student|
|Christian Schlauch||PhD Student|
|Bettina Schmidt||PhD Student|
|Michael Stanley Smith||Mercator Fellow|
|Ivan Ustyuzhaninov||Postdoctoral Researcher|
|Annalena Weissert||Student Assistant|
The group's research interests broadly lie at the intersection of machine learning and traditional statistical methods. This includes Bayesian Computational Methods, Bayesian Deep Learning, Machine Learning, Smoothing, Regularization and Shrinkage, Distributional Regression, Network Analysis as well as Spatial Statistics.
Prof. Klein is principal investigator in the following research projects.
See the Google Scholar page of Prof. Klein for a complete list. Below you can find some key publications and recent working papers.
We offer Master theses at the intersection of statistics and machine learning. Please see below for titles of available theses in these areas. If you are interested in one of these projects and fulfill the requirements laid out in our thesis guidelines, please contact us.
A selection of completed theses at the chair can be found below.