The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here:

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Computational science hub to sharpen research in environment and health

Group picture of researchers. Photo.
COSHE stands for Computational Science for Health and Environment. The hub is based at Geocentrum II in Lund. Photo: Kenneth Ruona/CEC.

A computational science hub, COSHE, has been established at Lund University. The aim is to become a creative hub for computational science with a focus on interdisciplinary research in the fields of health, climate and the environment.

COSHE works with machine learning, statistical learning methods, physical system modeling and quantum computing. The research groups behind COSHE already have participated in interdisciplinary collaborations with researchers in medicine and health, biology, chemistry and physics. The new initiative also opens the door to collaborations in the fields of the environment and climate.

“Advances in science are increasingly dependent on computational methods. Modern measurement techniques generate large amounts of data that require sophisticated processing and analysis. That's where we come in. With COSHE, we want to increase the visibility of our previous research and at the same time open up for new potential collaborations," says Tobias Ambjörnsson, theoretical biophysicist and one of the initiators of COSHE. He compares the group's activities to yeast that is added to the "scientist's dough" and makes the research rise to a new level.

Offer collaboration with other environments

COSHE stands for Computational Science for Health and Environment and is partly a result of the closure of the Department of Astronomy and Theoretical Physics (ATF) in 2023. One of the department's units, Computational Biology and Biological Physics (CBBP), was given a new home at the Centre for Environmental and Climate Science (CEC) and also moved to new premises. When the dust settled after the move and reorganization, the researchers looked for opportunities to strengthen and develop their activities while taking advantage of the potential created by joining CEC. The result was COSHE. 

"With the rapid development in the field of computing that we see today, we believe that we have a lot to offer through collaboration with other environments at the university. At the same time, it will be a fresh start for us," says Anders Irbäck, Director of COSHE.

Development and adaptation of computational methods

Machine learning and statistical learning methods are areas where enormous progress has been made over the past decade, especially in the areas of deep learning and Bayesian modeling.  At the same time, systems modeling with roots in physics is expanding towards the fields of medicine, biology and environmental science, says Tobias Ambjörnsson. To clarify and strengthen the research groups' activities in these areas, he believes it was time for a "CBBP 2".

COSHE currently works closely with colleagues who conduct microbiology experiments, for example to understand cancer, immune response or how proteins clump together in different types of diseases. 

“To be able to interpret and draw conclusions from these experiments, modeling and data analysis are invaluable” says Tobias Ambjörnsson. 

COSHE is also working on machine learning, with some focus on patient data and creating decision support for medical doctors. In addition, image analysis methods and statistical tools are being developed. The group is also engaged in pure method development in computing, for example for quantum computing. 

Interdisciplinary constellations

The research is conducted in various interdisciplinary constellations, mainly in collaboration with scientific and medical research groups at both Lund and other Swedish universities and at universities abroad. Cooperation across disciplinary boundaries is central.

“This type of project requires a commitment to the research problems with a focus on the end result, that you familiarize yourself with experiments and data together with your partners and adapt or develop computational tools for the given problem. This way one can go beyond what can be done with ready-made simulation packages or standard statistical tools," says Tobias Ambjörnsson.

Those who want to know more about COSHE or are interested in collaboration can read more and find contact details on the website.

Computational Science for Health and Environment | Centre for Environmental and Climate Science (CEC) (