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.
