Who we are
We are a group with its methodological base in scientific computing and we are strong in traditional areas such as mathematical modeling, solution of differential equations and high-performance computing. Stochastic models, discrete event simulation, and multiscale chemical kinetics have been particularly active areas of research . A prominent application area in our group is computational systems biology, where we seek to gain insight into the functioning of cellular regulatory systems through simulation of molecular and mechanistic processes.
We are located at the Division of Scientific Computing at the Department of Information Technology, Uppsala University. We participate in the eSSENCE e-Science collaboration and the Distributed Computing Applications (DCA) group.
Solutions to challenging problems are rarely found by using methods from only one discipline. One of our core values is that we curiously explore new and emerging technology to improve our problem solving capability. Most of our active projects combine methods and software from traditional scientific computing, machine learning, scientific cloud computing and data engineering. For example, by integrating discrete event simulation, global optimization, human-in-the loop semi-supervised learning, and implemented using modern cloud computing platforms, we develop next-generation of intelligent software for model exploration of high-dimensional systems.