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The backbone of the Karolinska Institutet Biostatistics Core Facility are its biostatisticians. The quality of the provided service ultimately depends on them. Their competence and happiness are of utmost importance to us.


Prof. Matteo Bottai, Karolinska Institutet


Johanna Aspsäter, johanna.aspsater@ki.se

Advisory Board

Prof. Johan Askling, Karolinska Institutet
Prof. Anders Ekbom, Karolinska Institutet
Prof. Maria Feychting, Karolinska Institutet
Prof. Per Tornvall, Karolinska Institutet



Anna Warnqvist has a Master's degree with statistics major from Uppsala University, Uppsala, Sweden. She has experience in the analysis of hierarchically sampled data, randomized controlled trial, multiple imputation of missing data, two-level Tobit models, random forests, and other statisitcal methods.


(Effective September 1, 2019)

Johan Zetterqvist has a Master's degree in methematical statistics from Stockholm University, Stockholm, Sweden, and a doctoral degree from Karolinska Institutet. Before joining us, he was an applied biostatisticians at Karolinska Institutet and subsequently a postoctoral fellow at the Institute for Evaluation of Labour Market and Education Policy, Uppsala, Sweden. He coauthored various papers in statistics, medicine, and epidemiology. His interests include survival analysis and statistical methods in causal inference.



Marianna Kotopouli is an intern with us. She has a Master's degree in biomedicine, biostatistics, and clinical bioinformatics, from the University of Thessaly, Thessaly, Greece, followed by an intership at Karolinska Institutet. She has experience with data management and applications of statistical methods with interest in the role of adipocytokines in lung cancer and hypothyrodism.



Henrike Häbel has a doctoral degree in mathematical statistics from Chalmers University of Technology and University of Gothenburg, Sweden. Before joining us, she completed a post-doctoral fellowship at the Natural Resources Institute Finland, Helsinki, Finland. Her interests include spatial and spatio-temporal statistics with a focus on spatial point processes and image analysis.



Linnea Widman has a Master's degree in mathematical statistics from Umeå University, Sweden. Before joining us, she worked at the Centrum för Epidemiologi & Samhällsmedicin at the Stockholm County Council and was affiliated to the Department of Public Health at Karolinska Institutet. She is skilled in a variety of mathematical and statistical methods, large register data, and computer programs.



Paolo Frumento has a doctoral degree in statistics from the University of Florence, Florence, Italy, and is assistant professor at Karolinska Institutet. His research focuses on quantile regression, quantile modeling, survival analysis, and software implementation. He is coauthor of various papers in statistics, medicine, epidemiology, ecology, and economics.