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

News at STIMA

News and major articles

Innovative idea for more effective cancer treatments rewarded

Lisa Menacher has been awarded the 2024 Christer Gilén Scholarship in statistics and machine learning for her master’s thesis. She utilised machine learning in an effort to make the selection of cancer treatments more effective.

Tomas Landelius and Carolina Natel de Moura.

The focus period resulted in new collaborations for the climate

In the fall of 2024, researchers from around the world once again gathered at Linköping University for ELLIIT's five-week focus period. This time, the goal was to initiate and deepen collaborations in climate research using machine learning.

Participants are listening to a lecture.

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.

Research at STIMA

Latest publications

2025

Ioannis Athanasiadis, Fredrik Lindsten, Michael Felsberg (2025) Prior Learning in Introspective VAEs Transactions on Machine Learning Research, Vol. 06, p. 1-41 (Article in journal)
Xiao-Pan Hu, Bayu Brahmantio, Krzysztof Bartoszek, Martin J. Lercher (2025) Most bacterial gene families are biased toward specific chromosomal positions Science, Vol. 388, p. 186-191 (Article in journal) Continue to DOI
Erik Stertman, Fade Gabro, Mårten Sandstedt, Oleg Sysoev, Jörg Lauermann, Carl Johan Östgren, Sofia Sederholm Lawesson, Jan Engvall, Staffan Nilsson, Fredrik Iredahl (2025) Coronary computed tomography angiography in primary care patients with chest pain or dyspnea - a cross-sectional study BMC Primary Care, Vol. 26, Article 178 (Article in journal) Continue to DOI
Maciej Wozniak, Hariprasath Govindarajan, Marvin Klingner, Camille Maurice, Ravi Kiran, Senthil Yogamani (2025) S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving Proceedings of the Winter Conference on Applications of Computer Vision (WACV), Tucson, USA, 2025 (Conference paper)
Gabriel Ducrocq, Lukas runewald, Sebastian Westenhoff, Fredrik Lindsten (2025) cryoSPHERE: Single-Particle HEterogeneous REconstruction from cryo EM
Sourabh Balgi, Adel Daoud, Jose M Pena, Geoffrey T. Wodtke, Jesse Zhou (2025) Deep Learning With DAGs Sociological Methods & Research (Article in journal) Continue to DOI
Jonas Agholme, Kim Ahtola, Ebba Toll, Carljohan Carlhäll, Pontus Henriksson, Stergios Kechagias, Peter Lundberg, Patrik Nasr, Oleg Sysoev, Magnus Wijkman, Mattias Ekstedt, Martin Ulander, Fredrik Iredahl (2025) Clinically available predictors of obstructive sleep apnoea requiring treatment in type 2 diabetes patients in primary care Scientific Reports, Vol. 15, Article 8710 (Article in journal) Continue to DOI
Dominik Fay, Sebastian Mair, Jens Sjölund (2025) Personalized Privacy Amplification via Importance Sampling Transactions on Machine Learning Research (Article in journal)
Alfredo Ordinola, David Abramian, Magnus Herberthson, Anders Eklund, Evren Özarslan (2025) Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning Scientific Reports, Vol. 15, Article 6580 (Article in journal) Continue to DOI
Humaira Batool, Asmat Mukhtar, Sajid Gul Khawaja, Norah Saleh Alghamdi, Asad Mansoor Khan, Adil Qayyum, Ruqqayia Adil, Zawar Khan, Muhammad Usman Akram, Muhammad Usman Akbar, Anders Eklund (2025) Knowledge Distillation and Transformer Based Framework for Automatic Spine CT Report Generation IEEE Access, p. 1-1 (Article in journal) Continue to DOI

Teaching - Bachelor and Master's programme

PhD studies

Contact us

Staff at STIMA

About the department