About
Welcome to the chair of Statistical Learning and Data Science at the LMU of Prof. Dr. Bernd Bischl (formerly working group Computational Statistics until early 2020).
Our chair is composed of the following research groups, which are led by at least one PostDoc:
- Interpretable Machine Learning / Explainable AI
- Machine Learning
- Optimization and Automated Machine Learning
- Deep Learning
- Research Software Engineering
Our research areas of interest are
- statistical computing and computational statistics
- predictive modeling, especially non-linear classification and regression
- boosting and ensembles
- deep learning
- automated machine learning
- model- and variable selection
- expensive black-box / Bayesian optimization
- interpretable machine learning
- research software development
Contact
Department of Statistics
Chair of Statistical Learning & Data Science
Ludwig-Maximilians-Universität München
Ludwigstraße 33
D-80539 München
Tel: +49 89 2180 2814 (administration)
Fax: +49 89 2180 5308
For any inquiries please contact our scientific manager: juliane.lauks [at] stat.uni-muenchen.de
News
- 2020-10-01: Tobias Pielok started his Ph.D. He will be supervised by Prof. Dr. Bernd Bischl.
- 2020-08-01: Julia Herbinger started her Ph.D. She will be supervised by Prof. Dr. Bernd Bischl and Dr. Giuseppe Casalicchio.
- 2020-08-01: Ludwig Bothmann started in the group as postdoc.
- 2020-06-22: Hüseyin Anil Gündüz started his Ph.D as part of the Deep Learning research group. He will be supervised by Prof. Dr. Bernd Bischl and will be working on the GenomeNet project.
- 2020-06-20: Felix Ott started his Ph.D. at the Department of Statistics at LMU Munich. He will be supervised by Prof. Dr. Bernd Bischl.
- 2020-05-01: Theresa Stüber started her Ph.D. at the Department of Statistics at Ludwig-Maximilians-Universität Munich. She will be supervised by Prof.Dr. Bernd Bischl and Prof. Dr. Michael Ingrisch (LMU Klinikum, Großhadern).
- 2020-05-01: The working group Computational Statistics has become the Chair of Statistical Learning and Data Science (SLDS).
- 2020-04-15: Jakob Richter started in the group.
- 2020-03-15: Mina Rezaei started in the group as postdoc.
- 2020-03-01: Juliane Lauks started in the group as scientific manager.
- 2019-11-15: Andreas Bender started in the group as postdoc.
- 2019-10-15: Susanne Dandl started her Ph.D. She will be supervised by Prof. Dr. Bernd Bischl and Dr. Heidi Seibold.
- 2019-10-01: Heidi Seibold started in the group as postdoc.
- 2019-10-01: Katharina Rath started her Ph.D. She will be supervised by Prof. Dr. Bernd Bischl and Dr. Udo von Toussaint (IPP).
- 2019-09-01: Julia Terhart started her Ph.D. at the Department of Statistics at Ludwig-Maximilians-Universität Munich. She will be supervised by Prof. Bernd Bischl.
- 2019-07-01: Emilio Dorigatti started his Ph.D. He will be supervised by Prof. Bernd Bischl and Dr. Benjamin Schubert (Helmholtz) and will work on the design of personalized cancer vaccines.
- 2019-05-01: Gunnar König started his Ph.D. at the Department of Statistics at Ludwig-Maximilians-Universität Munich. He will be supervised by Prof. Grosse-Wentrup (Universität Wien) and Prof. Bischl (LMU) working on Interpretable Machine Learning and Causality.
- 2019-05-01: Jann Goschenhofer started his Ph.D. at the Department of Statistics at Ludwig-Maximilians-Universität Munich in close cooperation with the Fraunhofer ADA Center. His research interest lies at the intersection of model uncertainty and semi-supervised learning.
- 2019-03-01: Christian Scholbeck started his Ph.D. at the Department of Statistics at Ludwig-Maximilians-University Munich. He will be jointly affiliated with the working group Methods for Missing Data, Model Selection and Model Averaging and the working group Computational Statistics. His research will focus on interpretable machine learning.
- 2019-01-17: The Munich Center for Machine Learning is being launched.
Prof. Dr. Bernd Bischl, Prof. Dr. Thomas Seidl and Prof. Dr. Daniel Cremers are launching the Munich Center for Machine Learning, a co-operation between the Ludwig-Maximilians-University Munich (LMU) and the Technical University Munich (TUM).
Machine Learning (ML) and Artificial Intelligence (AI) have become scientific key technologies. Prof. Dr. Bernd Bischl is one of the leading members of the newly established research center Munich Center for Machine Learning (MCML). Funded by the Federal Ministry of Education and Research, the center will bundle excellent ML research, connect with industry and educate students.
The Munich Center for Machine Learning is lead jointly by Prof. Dr. Thomas Seidl and Prof. Dr. Bernd Bischl (on the LMU side) and Prof. Dr. Daniel Cremers (for TUM). Read More - 2018-12-17: Martin Binder started his Ph.D. in the working group Computational Statistics. He will work on Automatic Machine Learning.
- 2018-11-15: Julia Moosbauer started her Ph.D. in the working group Computational Statistics. She will work on Model-Based Optimization.
- 2018-09-10: The paper “Visualizing the Feature Importance for Black Box Models” by Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl was accepted and presented at the ECML-PKDD 2018 conference. LINK
- 2018-09-01: Thomas Seidl (LMU), Bernd Bischl (LMU) and Daniel Cremers (TUM) will lead the Munich Center for Machine Learning (MCML).
- 2018-07-14: Stefan Coors took part in the International Workshop on Automatic Machine Learning with the paper on Automatic Gradient Boosting.
- 2018-07-05: The Compstat group was invited to WhyR 2018, where we gave talks about several parts of the mlr ecosystem. For more info see the mlr Blog.
- 2018-06-27: The paper “iml - An R package for Interpretable Machine Learning” by Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl was published at JOSS. LINK
- 2018-05-01: Stefan Coors started his Ph.D. in the working group computational statistics. He works on ordinal regression and methods for automatic machine learning.
- 2018-05-01: Our working group is part of the newly created Data Science@LMU Professional Certificate Program.