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Division of Computational Science and Technology

Computational Science and Technology is a multidisciplinary field that uses advanced computing methodologies to understand and solve complex problems. The division develops methods, computing environments and data analysis capabilities to solve scientific questions in a multi-disciplinary setting shaping the future of computing.

Research areas

High-performance Computing (HPC)

HPC plays a pivotal role in advancing scientific research, engineering, and technological innovation across diverse fields. We perform research on various aspects of HPC, including parallel programming models; parallel and distributed algorithms and applications; performance monitoring, modeling, analysis and optimization; parallel computer architecture; as well as quantum computing (QC).

Computational Biology and Machine Learning in Biomedicine

We are located at SciLifeLab, Sweden’s main centre for high-throughput biology, and work on computational problems in molecular biology, primarily related to evolution and genomics.

Biological Physics and Systems Biology

Research projects within the group consists of Quantum Thermodynamics and heat in open quantum systems, non-equilibrium physics on the meso-scale and inverse statistical mechanics.

Computational Brain Science

We perform research on (i) computational modelling of biological brain function and on (ii) developing theory, algorithms and software for building computer systems that can perform brain-like functions.

Numerical Methods

The research in numerical methods combines fundamental research in mathematics and computer science, with applied research in interdisciplinary projects across different research environments, with industry and society.

Parallel Computing

We investigate the possibility of extending the Message Passing Interface (MPI) to support streaming and communication-offloading models on supercomputers to support scientific applications with irregular fine-grained communication.


There are three subtopics in Visualization at KTH: visualization and data analysis, interactive virtual characters and computer game technologies and human-centered visualization.

 Meet the division


Patrick Norman, Director of PDC.

Developing intuitive tools for molecular simulations on powerful computers

To deliver open-source code that anyone worldwide can use, the Parallel Computing Centre (PDC) recently made a long-awaited breakthrough in creating code for quantum chemistry on graphics processing u...

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AI in coding awarded for impact

For a long time, coding was tediously manual, but in 2009, Martin Monperrus, Professor of Software Engineering at KTH Royal Institute of Technology, and his team realised that built-in AI could help m...

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Old couple embracing while walking down a road
A new methodology can accelerate the diagnosis and possibly treatment of patients, helping return the brain to more healthy activity. Photo: Format Arw/Unsplash

Better data analysis can improve treatment of Parkinson’s disease

More accurate data help understand how extensive local brain networks are affected in patients.

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