Computational Biology – CB
The scientific mission of the Department of Computational Biology (CB) at KTH is to be at the forefront of mathematical modelling, quantitative analysis, and mechanistic understanding of biological systems. We develop theory, algorithms and software for building computer systems that can perform brain functions, computational processing of gene data and modelling evolution as well as physics-based modelling of biological systems. We are specifically engaged in joint projects with experimental biologists.
The main research areas of CB are:
- Computational Neuroscience and Neuroinformatics – modelling brain function such as sensory perception, cognition, motor control, memory and learning at different levels of biological detail (molecular, cellular, network) and mathematical/functional description.
- Bioinformatics and Computational Molecular Biology – computational understanding of genomics and evolution with focus on algorithmic development for molecular data.
- Biological Physics and Systems Biology – molecules, proteins, genes, gene regulation, mutations, networks, systems biology)
At the national and international level, the department is engaged in the Stockholm Brain Institute (
SBI), the International Neuroinformatics Coordinating Facility (
KTH ACCESS Linnaeus Center, Strategic Research Program in Neuroscience (
StratNeuro), Swedish e-Science Research Centre (
SeRC), Science for Life Laboratory (
SciLifeLab), and the Human Brain Project (
HBP) as well as several other European research projects.
Our educational mission is to contribute to undergraduate and graduate programmes at KTH in Computer Science and Theoretical Biological Physics by giving courses, providing supervision for Master's projects and doctoral training. The department is responsible for the KTH International Master’s Programme in Systems Biology (
euSYSBIO), and an Erasmus Mundus Doctoral Programme in Neuroinformatics (