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The Division of Statistics and Machine Learning (STIMA)

The Division of Statistics and Machine Learning is part of the Department of Computer and Information Science. The research and teaching activities at the division are focused on modern data analysis. 

Research

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, motivated by a wide range of problems in areas that span from journalism and psychology to genetics and robotics.

Teaching

The division hosts the unique bachelor's programme Statistics and Data Analysis 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.


Seminar series at STIMA

STIMA leads two popular research seminar series

IDA Machine Learning Seminars

The Machine Learning Research Group at IDA invites to the research seminar series IDA Machine Learning Seminars. Welcome!

Seminars in Statistics and Mathematical Statistics

Here you can find all information about our seminars. Warm welcome!

News at STIMA

News and major articles

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Symposium aiming to improve the climate

In the fall of 2024, Linköping University once again hosted ELLIIT's five-week-long focus period. This guest researcher program aimed for greater breadth in interdisciplinarity this year, with the theme of machine learning for climate science.
Two men and a woman talk in front of a screen

Machine learning can give the climate a chance

Machine learning can help us discover new patterns and better tackle the climate crisis. Researchers from all over the world meet at Linköping University with the goal of finding and deepening collaborations in this area.
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SEK 13 million for research into solving murders using AI

Was it murder, poisoning or was the death maybe caused by disease? Researchers have now been granted SEK 13 million from the Swedish Research Council to develop a methodology to solve crimes using detailed analyses and artificial intelligence.

Research at STIMA

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WASP at Department of Computer and Information Science (IDA)

WASP, Wallenberg AI autonomous systems and software program, is the largest individual research investment in Sweden in modern times. One of the WASP research environments at LiU is located at the Department of Computer and Information Science.
Global networks combined with light.

ELLIIT

ELLIIT is a network organization for Information and Communication Technology (ICT) research at Linköping, Lund, Halmstad and Blekinge. The objective is scientific excellence in combination with industrial relevance and impact.

ELLIIT

Latest publications

2024

Jonas Bjermo (2024) Optimal Test Design for Estimation of Mean Ability Growth Applied psychological measurement (Article in journal) Continue to DOI
Christoforos Spyretos, Iulian Emil Tampu, Nadieh Khalili, Juan Manuel Pardo Ladino, Per Nyman, Ida Blystad, Anders Eklund, Neda Haj-Hosseini (2024) Early fusion of H&E and IHC histology images for pediatric brain tumor classification Proceedings of Machine Learning Research, p. 192-202, Article PMLR 254:192-202 (Conference paper)
Yun Zhang, Joseph Lee Rodgers, Patrick O'Keefe, Wei Hou, Stacey Voll, Graciela Muniz-Terrera, Linda Wänström, Frank Mann, Scott M. Hofer, Sean A. P. Clouston (2024) The Flynn Effect and Cognitive Decline Among Americans Aged 65 Years and Older Psychology and Aging, Vol. 39, p. 457-466 (Article in journal) Continue to DOI
Mattias Villani, Matias Quiroz, Robert Kohn, Robert Salomone (2024) Spectral Subsampling MCMC for Stationary Multivariate Time Series with Applications to Vector ARTFIMA Processes ECONOMETRICS AND STATISTICS, Vol. 32, p. 98-121 (Article in journal) Continue to DOI
Chiara Trenti, Deneb Boito, Filip Hammaréus, Anders Eklund, Eva Swahn, Lena Jonasson, Bertil Wegmann, Petter Dyverfeldt (2024) Abnormal Patterns of Wall Shear Stress in Aortic Dilation Revealed by Permutation Tests Journal of Cardiovascular Magnetic Resonance, Vol. 26, p. 100612-100612, Article 100612 (Article in journal) Continue to DOI
Sourabh Balgi, Jose M. Peña, Adel Daoud (2024) ρ-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows 12th International Conference on Probabilistic Graphical Models, p. 20-37 (Conference paper)
Sourabh Balgi, Jose M. Peña, Adel Daoud (2024) Counterfactually-Equivalent Structural Causal Modelling Using Causal Graphical Normalizing Flows 12th International Conference on Probabilistic Graphical Models, p. 164-181 (Conference paper)
Rasmus Säfvenberg, Anders Nordgaard, Ola Lidmark Eriksson, Niklas Carlsson, Patrick Lambrix (2024) Age of Peak Performance Among Soccer Players in Sweden Sports Analytics, First International Conference ISACE 2024, p. 278-290 (Conference paper) Continue to DOI
Friederike Baier, Sebastian Mair, Samuel G. Fadel (2024) Self-Supervised Siamese Autoencoders Advances in Intelligent Data Analysis XXII: Part I, p. 117-128 (Conference paper) Continue to DOI
Christian Jamtheim Gustafsson, Tommy Löfstedt, Mattias Åkesson, Viktor Rogowski, Muhammad Usman Akbar, Andreas Hellander, Peter Larsson, Annika Malmström, Ida Blystad, Anders Eklund (2024) Federated training of segmentation models for radiation therapy treatment planning Radiotherapy and Oncology, Vol. 194, p. S4819-S4822 (Article in journal) Continue to DOI

Teaching - Bachelor and Master's programme

Bachelor's Programme in Statistics and Data Analysis, 180 credits

An illustration of a stream of ones and zeroes.

Statistics and Machine Learning, Master's Programme, 120 credits

The intersection of statistics, artificial intelligence and database management, providing students a unique competence. Meets the demand for specialists able to exploit a wealth of information to improve analysis, prediction and decision making.

PhD studies

students seated at a round table

Graduate Studies in Statistics

The doctoral program is intended to provide graduate students with a deep, foundational education in statistics, along with further in-depth knowledge in the student’s chosen area of specialisation.
Spot, the robot dog

Doctoral studies in Computer Science

Computer Science is an interdisciplinary subject area, covering everything from basic studies of algorithms, computational processes, and knowledge representation to informatics and computer linguistics.

Contact us

Management

Head of Division

Photo of Fredrik Lindsten

Fredrik Lindsten

Senior Associate Professor, Head of Division

Head of Unit Statistics (STAT)

Photo of Frank Miller

Frank Miller

Professor, Head of Unit

Head of Unit Machine Learning (ML)

Photo of Jose M Pena

Jose M Pena

Senior Associate Professor, Head of Unit

Director of Undergraduate Studies

Photo of Isak Hietala

Isak Hietala

Lecturer

Administrator

Photo of Karin Baardsen

Karin Baardsen

Administrator

Staff at STIMA

All staff

Photo of Amirhossein Ahmadian
Amirhossein Ahmadian
PhD student
Photo of Johan Alenlöv
Johan Alenlöv
Lecturer
Martin Andrae
PhD student
Photo of Sourabh Balgi
Sourabh Balgi
Photo of Krzysztof Bartoszek
Krzysztof Bartoszek
Senior Associate Professor
Photo of Jonas Bjermo
Jonas Bjermo
Postdoc
Photo of Bayu Brahmantio
Bayu Brahmantio
PhD student
Photo of Gabriel Ducrocq
Gabriel Ducrocq
Postdoc
Photo of Filip Ekström Kelvinius
Filip Ekström Kelvinius
PhD student
Photo of Hariprasath Govindarajan
Hariprasath Govindarajan
Anders Grimvall
Photo of Ann-Charlotte Hallberg
Ann-Charlotte Hallberg
Lecturer
Photo of Isak Hietala
Isak Hietala
Lecturer
Woodrow Hao Chi Kiang
PhD student
Photo of Erik Larsson
Erik Larsson
PhD student
Photo of Fredrik Lindsten
Fredrik Lindsten
Senior Associate Professor, Head of Division
Photo of Sebastian Mair
Sebastian Mair
Assistant Professor
Samuel Matthiesen
Postdoc
Photo of Lisa Menacher
Lisa Menacher
PhD student
Photo of Frank Miller
Frank Miller
Professor, Head of Unit
Photo of Shashi Nagarajan
Shashi Nagarajan
Anders Nordgaard
Adjunct Associate Professor, Docent
Photo of Louis Ohl
Louis Ohl
Postdoc
Photo of Amanda Olmin
Amanda Olmin
PhD student
Photo of Joel Oskarsson
Joel Oskarsson
PhD student
Photo of Jose M Pena
Jose M Pena
Senior Associate Professor, Head of Unit
Photo of Jolanta Pielaszkiewicz
Jolanta Pielaszkiewicz
Associate Professor
Dong Qian
Postdoc
Photo of Oleg Sysoev
Oleg Sysoev
Senior Associate Professor
Photo of Annika Tillander
Annika Tillander
Associate Professor
Photo of Bertil Wegmann
Bertil Wegmann
Associate Professor
Photo of Josef Wilzén
Josef Wilzén
Lecturer
Photo of Linda Wänström
Linda Wänström
Associate Professor, Docent
Photo of Zheng Zhao
Zheng Zhao
Assistant Professor

About the department

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Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

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