Tilmann Gneiting

Prof. Tilmann Gneiting is a renowned academic holding dual roles as Group Leader of Computational Statistics at the Heidelberg Institute for Theoretical Studies (HITS) and Professor of Computational Statistics at the Karlsruhe Institute of Technology (KIT). He specializes in statistical methodology, probability theory, and forecasting applications across environmental, atmospheric, and earth sciences. His research bridges theoretical foundations with practical challenges in weather prediction, climate modeling, and uncertainty quantification.

• Education:
  • PhD in Mathematics (1997, University of Bayreuth)
  • MA in Mathematics (1992, Boston University)
  • Diplom in Mathematics (1993, University of Bayreuth)
• Key Roles:
  • Scientific Director of HITS (2023–2024)
  • Affiliate Professor at University of Washington (since 2010)

His research interests focus on spatial/spatio-temporal modeling, probabilistic forecasting, and statistical post-processing. He has contributed to advancements in ensemble forecasting, uncertainty quantification, and the evaluation of probabilistic predictions in meteorology and epidemiology.

Prof. Gneiting has received prestigious awards, including the 2024 Ulf Grenander Prize in Stochastic Theory and Modeling, recognizing his seminal work in probabilistic forecasting and environmental modeling. He has also held editorial roles in top journals like the Annals of Applied Statistics and the Journal of the Royal Statistical Society.

His recent work emphasizes methodological developments for forecasting evaluation, climate science applications, and interdisciplinary collaborations with ECMWF and other institutions.