Henrike Häbel

Henrike Häbel

Telephone: +46852486544
Visiting address: Widerströmska huset, Tomtebodavägen 18A, 17165 Solna
Postal address: C7 Lärande, Informatik, Management och Etik, C7 Lärande Tomson Häbel MedStat, 171 77 Stockholm

About me

  • Henrike Häbel has a doctoral degree in mathematical statistics from Chalmers
    University of Technology and University of Gothenburg, Gothenburg, Sweden.
    Before joining the Division of Biostatistics, Institute of Environmental
    Medicine (IMM, 2018-2021) and the Medical Statistics Unit (Medstat),
    Department of Learning, Informatics, Management and Ethics (LIME, 2022-now)
    at Karolinska Institutet, she completed a post-doctoral fellowship at the
    Natural Resources Institute Finland, Helsinki, Finland. Henrike mainly works
    with statistical consultation, data management, survival and regression
    analysis in epidemiologic and population-based studies. She is also involved
    in teaching activities and is part of the Centre for Bioinformatics and
    Biostatistics (CBB).
    Cramér prize for best thesis issued by the Cramér society, Sweden, 2018
    Ph.D. in Mathematical Statistics,
    Chalmers University of Technology and University of Gothenburg,
    Gothenburg, Sweden, June 2017
    Advisors: Aila Särkkä (main), Mats Rudemo, Tuomas Rajala and Matias Nordin


  • Henrike Häbels research interests include spatial and spatio-temporal
    statistics with a focus on spatial point processes and image analysis.


  • First-cycle courses:
    Basic course on probability theory and statistics for teachers (University of
    Second-cycle courses:
    Practical course on statistics with the software R and SAS (Ulm University)

  • computer exercise sessions and project supervision on statistical image
    (Chalmers University of Technology)
    Third-cycle courses:
    Course on applied spatial statistics with a focus on point processes (Swedish
    of Agricultural Science, Umeå)

  • Basic Epidemiology and Statistics 1 (Karolinska Institutet)


All other publications


  • Statistician, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, 2022-
  • Statistician, Department of Clinical Neuroscience, Karolinska Institutet, 2022-2025

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