Offers a Machine Learning Consulting Unit that provides consulting on the application and evaluation of machine learning methods for (applied) scientists from LMU, MCML, and other interested parties.
Research Experience
Chair of the Statistical Learning and Data Science at LMU Munich. The chair is composed of several research groups, each led by at least one PostDoc, covering areas such as Automated Machine Learning and Optimization, Boosting, Causal and Fair Machine Learning, Empirical Machine Learning, Interpretable Machine Learning/Explainable AI, Machine Learning for Survival Analysis, Methods Beyond Supervised Learning, Natural Language Processing, Probabilistic Machine and Deep Learning, Research Software Engineering.
Background
Research interests include statistical computing and computational statistics, predictive modeling (especially non-linear classification and regression), boosting and ensembles, deep learning, automated machine learning, causal inference, fair machine learning, empirical machine learning and benchmarking, model and variable selection, expensive black-box/Bayesian optimization, interpretable machine learning, machine learning-based survival analysis, research software development.
Miscellany
Contact: Department of Statistics, Chair of Statistical Learning & Data Science, Ludwig-Maximilians-Universität München, Ludwigstraße 33, D-80539 München. For all administrative inquiries, please contact our office administration: slds [at] stat.uni-muenchen.de, Tel: +49 89 2180 2814 (administration), Fax: +49 89 2180 5308. For general inquiries, please contact our scientific manager: juliane.lauks [at] stat.uni-muenchen.de. News can be found on our BlueSky account.