Associate Professor and Group Leader at LMU since summer 2023. Before David was Interim Professor at LMU Munich, RWTH Aachen, TU Dortmund and also Senior Data Scientist in 2019. He earned his PhD in Statistics in 2018 (supervisor Sonja Greven).
Marcel is PhD Student at University of Goettingen (supervisor Thomas Kneib) and works on multivariate transformation models.
Daniel is PhD Student in the Data Science Group (co-supervisor Oliver Duerr) and works on uncertainty quantification in Bayesian neural networks.
Chris is PhD Student in the Statistical Learning and Data Science Group (supervisor Bernd Bischl) and works on sparsity in neural networks.
Philipp is a PhD Student in the Statistical Learning and Data Science Group (supervisor Bernd Bischl) and works on deep survival analysis.
Tobias is a PhD Student in the Statistical Learning and Data Science Group (supervisor Bernd Bischl) and works on Bayesian deep learning and model-based optimization.
Emanuel is a PhD Student in the Data Science Group. Previously he worked on dependence modeling in the realm of risk measure forecasting and as a Data Scientist, specializing in large-scale Learning-to-Rank Applications. He is currently working on Bayesian Deep Learning.
Rickmer is a PhD Student in the Data Science Group. He is currently working on Optimization and Boosting methods.
Theresa is a PhD Student in the Statistical Learning and Data Science Group (supervisor Bernd Bischl) and in the Clinical Data Science Group (supervisor Michael Ingrisch), and works in the area of machine and deep learning with radiological data.
Tobias is a PhD Student in the Statistical Learning and Data Science Group (supervisor Bernd Bischl) and in the Clinical Data Science Group (supervisor Michael Ingrisch) and works on generative models in the medical image domain.
Lisa is a PhD Student in the Statistical Learning and Data Science Group (supervisor Bernd Bischl) and works on uncertainty quantification in deep learning.
Lucas did his PhD Student at the University of Zurich with Beate Sick and Torsten Hothorn and now works on causality and distributional regression models with deep learning in the Copenhagen Causality Lab.
Andrew is a PhD Student at the University of Limerick with Kevin Burke and works on neural networks from a statistical-modelling perspective.
Philipp was a PhD Student at ETH Zurich (supervisors Torsten Hothorn and Jan-Egbert Sturm) and worked on (autoregressive) transformation models.
Emilio was a PhD Student in the Statistical Learning and Data Science Group (supervisors Bernd Bischl and Benjamin Schubert) and worked on uncertainty quantification in semi-structured neural networks.
Jann was PhD Student in the Statistical Learning and Data Science Group (supervisor Bernd Bischl) and works on learning with limited labeled data.
Felix is a former PhD student of Bernd Bischl and Christopher Mutschler from Fraunhofer IIS who obtained his PhD in 2023 for his work on camera-based localization with deep learning methods and multimodal information fusion for pose estimation.
Katharina was a PhD Student in the Statistical Learning and Data Science Group (supervisor Bernd Bischl) and at the Max Planck Institute for Plasma Physics (IPP) (supervisors Udo von Toussaint and Christopher Albert) and worked on Gaussian processes.
Daniel is a former PhD Student of Bernd Bischl and obtained his PhD for his work on component-wise gradient boosting.
Philipp was a PhD Student in the Statistics and Econometrics Group, how Postdoc with Stephen Boyd in Stanford, and works on deep time series models and convex optimization.
We try to keep our publications up to date on Google Scholar.