David Rügamer

I am an Associate Professor at the LMU Munich, heading the Munich Uncertainty Quantification AI Lab, an Ellis Member, Associated Fellow of the Konrad Zuse School of Excellence in Reliable AI (relAI), and also a Principal Investigator of the Munich Center for Machine Learning (MCML).

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 ICML, NeurIPS, and UAI,
• as reviewer for many top-tier journals, including Biometrika, EJS, JASA, JCGS, JMLR,
• as reviewer for the top machine learning conferences, including 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.