Thomas Augustin

Thomas Augustin is a Professor at the Department of Statistics, Faculty of Mathematics, Computer Science and Statistics, Ludwig-Maximilians-Universität München. He serves as Dean of Studies and Program Coordinator, with contact details at Ludwigstr. 33, Munich.

Research Interests

Augustin specializes in methodological foundations of statistics and their applications, particularly focusing on imprecise probability theory, Bayesian inference under epistemic uncertainty, and machine learning under complex uncertainty scenarios. His work addresses statistical modeling, robust regression analysis, and decision-making with non-randomly coarsened observations.

Publications & Research Trends

Recent publications highlight advancements in imprecise Bayesian optimization, human-AI collaboration frameworks, and statistical methods for handling undecided voter data. Key themes include robust machine learning, survival analysis with frailty models, and multi-criteria benchmarking techniques.

Contact & Affiliation

Email: thomas.augustin@stat.uni-muenchen.de | Office: Room L250 | Phone: +49 89 2180 3520