Uppsala University, founded 1477, is the oldest university in the Nordic countries, and holds a high international standard. It has a long tradition of world-class research in mathematically oriented subjects. The Centre for Interdisciplinary Mathematics (CIM) is hosted by the Dept. of Mathematics, and financed by the Faculty of Science and Technology, with a mission to /facilitate/ and /support/ joint research between mathematical sciences and other disciplines as well as industry. The mathematical core subjects in CIM are applied mathematics, mathematical statistics, scientific computing, system identification and control theory, and image analysis. CIM funds a graduate school for PhD students with interdisciplinary research projects, each with a mathematical component. CIM also organises seminars and activities with an interdisciplinary profile as well as a consultancy service (free of charge) that aims to connect mathematics with other areas.

There are several research areas within CIM that combines mathematics with medicine. There are groups in systems biology, studying processes at the cellular level, there are several projects in medical imaging, and there is research on numerical simulation of stochastic and deterministic models of processes in the human body at a higher level.

Elisabeth Larsson got her PhD in Numerical Analysis in 2001, after a postdoc at the Dept. of Applied Mathematics at University of Colorado at Boulder, she has been employed by Uppsala University, where she is now is an associate professor of Scientific Computing. In 2007 she received The Göran Gustafsson Award for Young Researchers for a project on numerical methods for climate modelling. In 2008, she was one of ten co-recipients of a large excellence grant for multicore computing. She is currently involved in the FP7 project FESTA "Female empowerment in Science and Technology Academia 2012-2017. Since 2010, Larsson has been the Director of the Centre for Interdisciplinary Mathematics at Uppsala University. Her main research interests involve numerical solution of partial differential equations, approximation with radial basis functions, high-performance computing, and computational finance. Regarding biomedical computing, her specific research interests are modelling of deformable tissue and muscles with applications to the respiratory system as well as reaction-diffusion processes in the human body with applications to infectious deceases.