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 Biology and Biological Physics

The Computational Biology and Biological Physics group, CBBP, is a research group at the Department at Astronomy and Theoretical Physics. The research and teaching at CBBP are broadly focused on developing a theoretical and computational physics toolbox and applying these tools to problems arising in biology and medicine.

Research at CBBP covers a wide spectrum of cross-disciplinary areas, often in collaboration with experimental researchers in medicine, biology or physics. In particular, the group develops and applies machine learning techniques to a variety of problems, develops models of macromolecules and cell systems, and investigates biological processes by statistical and and imaging techniques.

The courses taught at CBBP cover useful computational tools such numerical integration, optimization and deep learning, but also more fundamental topics such as statistical physics. Thesis projects for bachelor and master students are generally clearly linked both to current research subjects and to skills taught in the courses.