Humboldt-Universität zu Berlin - Statistics

Prof. Dr. Nadja Klein

Statistics and Data Science

Note: Prof. Nadja Klein was a member of the Chair of Statistics and Data Science till 04/2023 and moved to the Technische Universität Dortmund.


Mail address

Humboldt-Universität zu Berlin
School of Business and Economics
Chair of Statistics and Data Science
Unter den Linden 6
10099 Berlin


We are hiring! Open PhD and Postdoc positions. 


Research Interests

  • Bayesian Computational Methods
  • Bayesian Deep Learning
  • Machine Learning
  • Smoothing
  • Regularization and Shrinkage
  • Distributional Regression
  • Network Analysis
  • Spatial Statistics


Short Vita

  • since Nov. 2021: Speaker of the Research Group ‘Artificial Intelligence’, Junge Akademie
  • since Oct. 2018: (Non-tenured) Assistant professorship (W1) for Statistics and Data Science, Humboldt University, Berlin
  • May 2018: Appointment for a Lecturer position, School of Mathematics and Statistics, University of Melbourne
  • Apr. 2018–Oct. 2018: (Non-tenured) Assistant professor (W1) for Statistics, University of Cologne
  • Jul. 2016–Feb. 2018: Postdoctoral Feodor-Lynen-Fellow of the Alexander von Humboldt Foundation, Melbourne Business School, University of Melbourne, Host: Prof. Dr. Michael Smith
  • Oct. 2015–Sept. 2016: Postdoctoral Fellow of the Fonds Wetenschappelijk Onderzoek Vlaanderen, supervisor: Prof. Dr. Gerda Claeskens (unpaid leave)
  • Jan. 2015–Mar. 2018: Postdoctoral researcher, Georg-August-Universität Göttingen
  • Jan. 2015: Dr. rer. nat. in Mathematics, Georg-August-Universität Göttingen Thesis title: ‘Bayesian Structured Additive Distributional Regression’, summa cum laude; supervisor: Prof. Dr. Thomas Kneib, defence: 03/12/2014
  • Feb. 2014–Dec. 2014: Research assistant funded by the DFG project ‘Structured Additive Distributional Regression’, Georg-August-Universität Göttingen
  • Jan. 2012: Diploma in Mathematics with a minor in Physics, University of Hamburg; Thesis title: ‘Statistische Lebenszeitanalyse von Flugzeuggeräten’, sehr gut; supervisor: Prof. Dr. Holger Drees, diploma examination: 26/01/2012


Prizes and Awards

  • 2018: ISBA Young Researcher Travel Support
  • since 2016: Member of the Humboldt network (by the Alexander von Humboldt Foundation)
  • 2016: Feodor-Lynen-Fellowship for Postdoctoral Researchers of the Alexander von Humboldt Foundation
  • 2016: NSF-ISBA Junior Travel Support Grant of the US National Science Foundation
  • 2015: Wolfgang-Wetzel-Price 2015 of the German Statistical Society for the paper ‘Bayesian Generalized Additive Models for Location, Scale and Shape for Zero-Inflated and Overdispersed Count Data’
  • 2014: Award of the Georg-August-Universität Göttingen for outstanding dissertation ‘Bayesian Structured Additive Distributional Regression’
  • 2014: Award of the Universitätsbund Göttingen for the dissertation ‘Bayesian Structured Additive Distributional Regression’


Research Funding

  • since Aug. 2021: Experiment (Volkswagenstiftung)
  • since Sep. 2020: Individual research Grant ‘Boosting Copulas’ (joint with Prof. A. Mayr, University of Bonn, DFG)
  • since Nov. 2019: Leader of the Emmy-Noether research group ‘Regression Models Beyond the Mean – A Bayesian Approach to Machine Learning’ (DFG)
  • Oct. 2019–Sep. 2021: Klaus Tschira boost fund (German Scholars Organization e.V)
  • Aug. 2019–Jul. 2020: Transferbonus with Newsenselab (Humboldt Innovations)
  • since Oct. 2017: RTG 2300 ‘Enrichment of European beech forests with conifers: impacts of functional traits on ecosystem functioning’ (principal investigator; SP11)
  • Jul. 2016–Jun. 2018: Feodor-Lynen fellowship of the Alexander von Humboldt Stiftung ‘Multivariate Conditional Distributions’ (principal investigator)



  • since Oct. 2021: Member of the International Biometric Society (IBS)
  • since May 2021: Member of the International Society of Bayesian Analysis (ISBA)
  • since Jul. 2020: Member of Die Junge Akademie
  • since Aug. 2019: Member of the Math+ Faculty and Berlin Mathematical School
    (BMS), TU Berlin, FU Berlin and HU Berlin
  • since May 2019: Member of the Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), HU Berlin
  • since Jan. 2019: Member of the Berlin Doctoral Program in Economics and Management Science (BDPEMS)
  • since Dec. 2018: Member of Biostatnet
  • since Apr. 2018: Associate member of the DFG Research Training Group 2300 Enrichment of European beech forests with conifers: impacts of functional traits on ecosystem functioning
  • since Nov. 2018: Member of Berlin Economics Research Associates (BERA)
  • since Apr. 2018: Member of The German Statistical Society (DStatG)
  • since Jan. 2018: American Statistical Association (ASA) Early Career Member
  • since Aug. 2017: Member of The German Association of University Professors and Lecturers (DHV)
  • since Jan. 2017: Member of the Bayesian Analysis and Modeling Research Group, University of Melbourne
  • since Mar. 2015: Member of the Centre for Statistics, Georg-August-Universität Göttingen
  • Oct. 2012 -Dec. 2014: Associate member of the DFG Research Training Group 1644 Scaling Problems in Statistics

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