Nadja Klein

Statistics and Data Science
Year 2020

Humboldt-Universität zu Berlin

Wirtschaftswissenschaftliche Fakultät

Unter den Linden 6
10117 Berlin

Portrait of Nadja Klein

Research areas

  • Statistics and Data Science

  • Statistical and Machine Learning

  • Mathematical Statistics

  • Spatial Statistics

  • Applied Statistics

Resume

  • 2022
    Gustav Adolf Lienert Award of the German Region of the International Biometric Society

  • Since 2019
    Emmy Noether Research Group in Statistics and Data Science
    (Humboldt-Universität zu Berlin)

  • 2016 - 2018
    Feodor-Lynen Postdoctoral Fellow of the Alexander von Humboldt Foundation
    (University of Melbourne & Melbourne Business School)

  • 2015
    Wolfgang Wetzel Award of the German Statistical Society

  • 2015
    Doctorate in Mathematics (Dr. rer. nat, summa cum laude;
    University of Goettingen)

  • 2012
    Diploma in Mathematics
    (Universität Hamburg and Johannes Gutenberg University Mainz)

Activities

    • Workshop „Interdisciplinary Conversations on the Fairness, Explainability and Uncertainty of AI“

      Members of the RG Artificial Intelligence will meet for an interdisciplinary dialogue on the chances and limits of AI and its applications. Different disciplines bring different perspectives to the table and similar sounding concepts do not necessarily mean the same. Moreover, even if concepts are the same across disciplines, different fields might focus on distinct aspects. The workshop “Interdisciplinary Conversations on the Fairness, Explainability and Uncertainty of AI” tries to bridge these gaps and brings researchers from different disciplines in conversation about these three major concepts of current research on AI.

      Topics:

      Starts on
      19.09.22
      Ends on
      20.09.22

      Event access: Internal

      Berlin

    • Workshop "Artificial Intelligence in Biobanking"

      In diesem Workshop möchten Mitglieder der AG Künstliche Intelligenz Biobanking und Künstliche Intelligenz stärker zusammendenken. Es sollen weitere Anwendungsfelder identifiziert werden, um mit Hilfe von Künstlicher Intelligenz das Biobanking zu optimieren und in seinen weiterführenden Implikationen zu beleuchten. Dabei soll der Fokus sowohl auf Aspekte wie IT-Prozesse, organisatorische Arbeitsabläufe oder Qualitätsmanagementmaßnahmen, als auch auf übergeordnete Fragestellungen ethischer, rechtlicher und gesellschaftlicher Bedeutung gelegt werden.

      Topics:

      Starts on
      29.07.22
      Ends on
      30.07.22

      Event access: Internal

      Berlin

    • Workshop "Data Science meets Landscape Ecology"

      Members of Die Junge Akademie meet junior researchers from the fields of Data Science and Landscape Ecology. From their disciplinary perspectives, they discuss the challenge of proposing the most sustainable possible concepts for the use of landscapes.

      Topics:

      Starts on
      15.06.22

      Event access: Internal

      Berlin