The Division of Statistics and Machine Learning (STIMA)

STIMA does research and teaching in modern data analysis. 

STIMA is a division of Statistics and Machine Learning that belongs to a department of computer science. This fact makes us unique in Sweden, and we like to view ourselves as Sweden's most modern division of statistics with a clear focus on state-of-the-art data analysis, prediction and decision making in complex systems. We are engaged in basic methodological research motiverade by a wide range of problems in areas that span from journalism and psychology to genetics and robotics.

The division hosts the unique bachelor's programme statistik och dataanalys and the international master's programme Statistics and Machine Learning. We are responsible for the course in machine learning taught at the engineering programmes at Linköping University, as well as the PhD study programme in Statistics.

STIMA also leads two popular research seminar series;

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Seminar Series
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Staff at STIMA
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Latest publications
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Bergthor Björnsson, Carl Borrebaeck, Nils Elander, Thomas Gasslander, Danuta Gawel, Mika Gustafsson, Rebecka Jornsten, Eun Jung Jung Lee, Xinxiu Li, Sandra Lilja, David Martinez, Andreas Matussek, Per Sandström, Samuel Schäfer, Margaretha Stenmarker, Xiao-Feng Sun, Oleg Sysoev, Huan Zhang, Mikael Benson (2019) Digital twins to personalize medicine Genome Medicine , Vol. 12 Continue to DOI

About the Department
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