Biostatistics Core - Karolinska Institutet

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.

Director Prof. Matteo Bottai, Karolinska Institutet
Advisory Board Prof. Johan Askling, Karolinska Institutet Prof. Anders Ekbom, Karolinska Institutet Prof. Maria Feychting, Karolinska Institutet Prof. Per Tornvall, Karolinska Institutet	Coordinator Johanna Aspsäter, johanna.aspsater@ki.se
Anna anna.olofsson.2@ki.se Anna Olofsson has a Master's degree in statistics from Stockholm University. She has experience in the analysis of large datasets, genetic data, infectious diseases, and other statisitcal methods.	Ann Louise annlouise.jensen@ki.se Ann Louise Jensen has a Bachelor's degree in statistics from Stockholm University. She has collaborated with colleagues with different background and has extensive experience with managing large data sets and woriking with authorities on processes and reports.
Hassan mahmood.ul.hassan@ki.se Mahmood Ul Hassan has a doctoral degree in statistics and a master of science degree with major in statistics from Stockholm University. He has extensive knowledge of statistics with special interest in computational statistics, multivariate methods, machine learning models, and classification techniques. He also has experience in teaching at the undergraduate and master levels.	Ivette ivette.raices.cruz@ki.se Ivette Raices Cruz has a doctoral degree in environmental science from Lund University and a Master's degree in applied mathematics, probability and statistics from the University of Havana, Cuba. She has experience as a clinical trial statistician and experise in Bayesian modeling, statistical analysis of clinical trials and methods for evidence synthesis such as pairwise and network meta-analysis. She is passionate about statistics and broadly interested in its applications in medicine.
Jane jane.yan@ki.se Jane Yan has a Master's in global health from Karolinska Institutet. She has experience in statistical modeling in different areas ranging from multistage biosystems to latent class models, surival models, and generalized estimating equations, and marginal structural models.	Pär par.villner@ki.se Pär Villner has a Master's degree in mathematical statistics from Stockholm University. He has experience in statistical consulting in health and medicine. Her research interests include statistical methods for combining data and information from heterogeneous sources.
Sara sara.freyland@ki.se Sara Freyland has a Master's degree in statistics from Uppsala University. She has experience in the analysis of extreme value distributions, time series, and other statisitcal methods.