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.

Our projects often combine approaches from scientific computing, machine learning, cloud computing and data engineering. For example, by integrating discrete event simulation, model-based optimization and human-in-the loop semi-supervised learning, we develop next-generation cloud native software for model inference and model exploration  in the StochSS project. Another example of this approach is found in the HASTE project, where we seek to develop intelligent cloud services supporting a new model for the management of massive image datasets from microscopy, based on intelligent information hierarchies.

Contact: 

andreas.hellander@it.uu.se

Visit us

http://www.it.uu.se/katalog/andreash

Funding

The work in the group is currently supported by the eSSENCE collaboration on eScience, the Swedish Research Council (VR), the Göran Gustafsson foundation and the Swedish Foundation for Strategic Research (SSF).

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