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Scientific Data

The Scientific Data Group is focused on the definition of the infrastructure needed for data intensive computing at scale.  We are particularly interested in connections between experiments and simulations and the need to enable high quality decisions in near-real-time. Our approach is based on deep partnerships with leading science teams, enabling co-design of new algorithms, middleware, and end-to-end systems.



  • Chemistry
  • Biology and Genomics
  • Astrophysics, Climate
  • Environmental Science
  • National Security
  • Forensics
  • Simulation Science
  • Epidemiology
  • Fusion Science
  • Transportation and Automotive
  • Health and Safety
  • Grid Technologies
  • Manufacturing
  • Future Combat Systems
  • Remote Sensing
  • Computer Network Security



Group Leader for Workflow Systems Group
Scott Klasky