Group leader, Computational Statistics (CST) at HITS
Professor of Computational Statistics, Institute for Stochastics at the Karlsruhe Institute of Technology (KIT)

Research Interests

Statistics and Probability; Spatial and Spatio-temporal Modeling; Theory and Practice of Forecasting; with applications in Atmospheric, Environmental and Earth Sciences, Economics, and Finance, among other areas

Curriculum Vitae

since 2013    Group leader, Computational Statistics (CST), Heidelberg Institute for Theoretical Studies
since 2013    Professor of Computational Statistics, Institute for Stochastics, Karlsruhe Institute of Technology
since 2010    Affiliate Professor of Statistics, University of Washington, Seattle, US
2009-2013    Professor of Mathematical Statistics, Heidelberg University, Germany
2007-2009    Professor of Statistics, University of Washington, Seattle, US
2003-2007    Associate Professor of Statistics, University of Washington, Seattle, US
1998-2003    Assistant Professor of Statistics, University of Washington, Seattle, US
1997-1998    Acting Assistant Professor of Statistics, University of Washington, Seattle, US
1997             PhD in Mathematics, University of Bayreuth, Germany
1993             Diplom in Mathematics, University of Bayreuth, Germany
1992             M.A. in Mathematics, Boston University, US

Editorial Activities

2016-2018    Editor-In-Chief, Annals of Applied Statistics
2014-2015    Senior Editor, Annals of Applied Statistics
2013-2014    Guest Editor, Nonlinear Processes in Geophysics
2011-2014    Editor for Physical Science, Computation, Engineering and the Environment, Annals of Applied Statistics
2010             Associate Editor, Annals of Statistics
2009-2010    Associate Editor, Environmetrics
2009-2010    Associate Editor, Weather and Forecasting
2008-2010    Associate Editor, Annals of Applied Statistics
2006-2009    Associate Editor, Journal of the Royal Statistical Society Series B: Statistical Methodology

Awards and Honors

2014-2020    Fellow, European Centre for Medium-Range Weather Forecasts (ECMWF)
2012-2018    Advanced Grant, European Research Council (ERC)
2017             Highly Cited  Researcher in Mathematics for 2005-2015, Clarivate  Analytics
2017             Fellow, American Statistical Association
2016             Highly Cited  Researcher in Mathematics for 2004-2014, Clarivate  Analytics (formerly Thomson Reuters)
2015             Read Paper (joint with Werner Ehm, Alexander Jordan and Fabian Krüger), Royal Statistical Society, London (UK), 9 December 2015
2015             Highly Cited Researcher in Mathematics for 2003-2013, Thomson Reuters
2015             Distinguished Achievement Medal, American Statistical Association Section on Statistics and the Environment
2014             Highly Cited Researcher in Mathematics for 2002-2012, Thomson Reuters
2011             Outstanding Paper Award, International Institute of Forecasters
2010             Fellow, Institute of Mathematical Statistics
2005             Richard L. Tweedie New Researcher AwardInstitute of Mathematical Statistics
2002             Early Career Award, National Science Foundation, US
1991-1992    Fulbright Scholarship


Please see my Google Scholar profile



  • Gneiting T, Asher J, Carriquiry A, Davis R, Dawid AP, Efron B, Haberman S, Kou S, Newton M, Paddock S, Prewitt K, Raftery A, Stein M, Straf M (2018). Special section in memory of Stephen E. Fienberg (1942–2016). AOAS Editor-in-Chief 2013–2015., Annals of Applied Statistics, 12:iii–x 341
  • Vogel P, Knippertz P, Fink AH, Schlueter A, Gneiting T (2018). Skill of global raw and postprocessed ensemble predictions of rainfall over northern tropical Africa, Weather and Forecasting, 33:369–388 344


  • Gneiting T (2017). When is the mode functional the Bayes classifier?, Stat, 6:204-206 225
  • Lerch S, Thorarinsdottir TL, Ravazzolo F, Gneiting T (2017). Forecaster’s dilemma: Extreme events and forecast evaluation, Statistical Science, 32:106-127 229


  • Ehm W, Gneiting T, Jordan A, Krueger F (2016). Of quantiles and expectiles: Consistent scoring functions, Choquet representations and forecast rankings (with discussion and reply), Journal of the Royal Statistical Society Series: Statistical Methodology, 78:505-562 49
  • Fissler T, Ziegel JF, Gneiting T (2016). Expected shortfall is jointly elicitable with value-at-risk: Implications for backtesting, Risk Magazine, January:58-61 143


  • Hansen L, Thorarinsdottir T, Ovcharov E, Gneiting T, Richards D (2015). Gaussian random particles with flexible Hausdorff dimension, Advances in Applied Probability, 47:307-327 52


  • Dueck J, Edelmann D, Gneiting T, Richards D (2014). The affinely invariant distance correlation, Bernoulli 20(4):2305-2330 1079
  • Gneiting T, Katzfuss M (2014). Probabilistic Forecasting, Annu. Rev. Stat. Appl. 1(1):125-151 1080
  • Richardson D, Hemri S, Bogner K, Gneiting T, Haiden T, Pappenberger F, Scheuerer M (2014). Calibration of ECMWF Forecasts, ECMWF Newsletter, 142:12-16, 2014/15 56
  • Scheuerer M, Gneiting T (2014). Evaluating Predictive Performance, Mathematics of Planet Earth,pp.15-18,Springer Berlin Heidelberg 1082
  • Ziegel JF, Gneiting T (2014). Copula calibration, Electron. J. Statist. 8(2):2619-2638 1083


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