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


  • Walz E, Knippertz P, Fink AH, Köhler G, Gneiting T (2024). Physics-based vs. data-driven 24-hour probabilistic forecasts of precipitation for northern tropical Africa, Monthly Weather Review, published online 1845
  • Dimitriadis T, Gneiting T, Jordan AI, Vogel P (2024). Evaluating probabilistic classifiers: The triptych, International Journal of Forecasting, 40(3):1101–1122 1735
  • Lopez VK, Cramer EY, Pagano R, Drake JM, O’Dea EB, Adee M, Ayer T, Chhatwal J, Dalgic OO, Ladd MA, Linas BP, Mueller PP, Xiao J, Bracher J, Castro Rivadeneira AJ, Gerding A, Gneiting T, Huang Y, Jayawardena D, Kanji AH, Le K, Mühlemann A, Niemi J, Ray EL, Stark A, Wang Y, Wattanachit N, Zorn MW, Pei S, Shaman J, Yamana TK, Tarasewicz SR, Wilson DJ, Baccam S, Gurung H, Stage S, Suchoski B, Gao L, Gu Z, Kim M, Li X, Wang G, Wang L, Wang Y, Yu S, Gardner L, Jindal S, Marshall M, Nixon K, Dent J, Hill AL, Kaminsky J, Lee EC, Lemaitre JC, Lessler J, Smith CP, Truelove S, Kinsey M, Mullany LC, Rainwater-Lovett K, Shin L, Tallaksen K, Wilson S, Karlen D, Castro L, Fairchild G, Michaud IJ, Osthus D, Bian J, Cao W, Gao Z, Lavista Ferres J, Li C, Liu T, Xie X, Zhang S, Zheng S, Chinazzi M, Davis JT, Mu K, Pastory y Piontti A, Vespignani A, Xiong X, Walraven R, Chen J, Gu Q, Wang L, Xu P, Zhang W, Zou D, Gibson GC, Sheldon D, Srivastava A, Adiga A, Hurt B, Kaur G, Lewis B, Marathe M, Peddireddy AS, Porebski P, Venkatramanan S, Wang L, Prasad PV, Walker JW, Webber AE, Slayton RB, Biggerstaff M, Reich NG, Johansson MA (2024). Challenges of COVID-19 case forecasting in the US, 2020–2021, PLOS Computational Biology, 20(5):e1011200 1843
  • Walz E, Henzi A, Ziegel J, Gneiting T (2024). Easy uncertainty quantification (EasyUQ): Generating predictive distributions from single-valued model output, SIAM Review, 66(1):91–122 1782
  • Brehmer JR, Gneiting T, Herrmann M, Marzocchi W, Schlather M, Strokorb K (2024). Comparative evaluation of point process forecasts, Annals of the Institute of Statistical Mathematics, 76:47–71 1692











  • Richardson D, Hemri S, Bogner K, Gneiting T, Haiden T, Pappenberger F, Scheuerer M (2014). Calibration of ECMWF forecasts, ECMWF Newsletter, 142:12–16 56
  • Gneiting T, Katzfuss M (2014). Probabilistic forecasting, Annual Review of Statistics and Its Application, 1(1):125–151 1395
  • Scheuerer M, Gneiting T (2014). Evaluating predictive performance, In Mathematics of Planet Earth, Lecture Notes in Earth System Sciences, Eds: Pardo-Igúzquiza E, Guardiola-Albert C, Heredia J, Moreno-Merino L, Durán J, Vargas-Guzmán J, Springer, Berlin, Heidelberg, pp. 15–18 1396
  • Ziegel JF, Gneiting T (2014). Copula calibration, Electronic Journal of Statistics, 8(2):2619–2638 1397
  • Dueck J, Edelmann D, Gneiting T, Richards D (2014). The affinely invariant distance correlation, Bernoulli, 20(4):2305–2330 1411


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