David Rügamer

I am Associate Professor at the LMU Munich, heading the Data Science Group and also a Principal Investigator of the Munich Center for Machine Learning (MCML). I am grateful that my research is funded by the Federal Ministry of Education and Research (BMBF) and the German Research Foundation (DFG). Before joining the LMU, I was interim professor for Computational Statistics at the TU Dortmund (winter ‘22/23) and RWTH Aachen (summer ‘22).

My current research involves the development of uncertainty quantification for deep learning approaches (using e.g. a Bayesian paradigm), the unification of concepts from statistics and deep learning, and studying overparametrization in neural networks. See also my Google Scholar profile for some of my recent research.

I am committed to advancing my research field through active participation in the academic community:

as an action editor for the JSS and TMLR,
as an area chair for several conferences such as NeurIPS and UAI,
as reviewer for many statistics and machine learning journals, including Biometrika, Electronic Journal of Statistics, Journal of American Statistical Association, Journal of Graphical and Computational Statistics, Journal of Machine Learning Research,
as reviewer for the top machine learning conferences, including AAAI, AISTATS, ICML, ICLR, NeurIPS, UAI, where I am repeatedly among the top reviewers,
participating in strategic meetings aimed at shaping the direction of research in the field, such as Dagstuhl.

If you want to find out more, visit my group’s homepage, where you can find information about the awesome people I work with, our teaching as well as recent news.