The Department of Numerical Analysis and Scientific Computing (SCAN) aims to develop mathematical methods and scientific tools to reach new understanding of complex physical processes. We target fundamental medical and industrial problems where new insights from mathematical modeling can advance today’s knowledge. In support of these applications, we also develop generally useful software tools for facilitating reproducible research practices and the communication of computational ideas.
The SCAN department hosts research projects with multi-disciplinary teams consisting of experts in mathematics, numerical methods, physical modeling and optimization, and scientific software development.
Our research teams focus on publishing novel research results of high relevance and quality. The challenging applications being addressed drive new developments in computational methodologies and scientific software. A key mission of the department is to make these developments accessible to computational scientists and engineers at large through professional, open source software.