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Workflow Systems Group

Optimizing the end-to-end management of scientific data to enable knowledge discovery.

This group researches and develops systems and algorithms to enable knowledge discovery from scientific data through efficient data management, reduction, and analysis.

The group's goal is to accelerate scientific knowledge by researching and developing novel techniques capable of solving real-world problems for mission critical applications and exploring novel solutions in the research community. The ability to create next-generation workflows for in situ processing and federated scientific instruments is a central component of this approach.


Group Leader for Workflow Systems Group
Scott Klasky