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 analytics.
Our goal is to accelerate scientific knowledge by researching and developing novel techniques which can solve “real problems” for mission critical applications and explore novel solutions in our research community. Central to our approach is in the ability to create next-generation workflows for in situ processing and federated scientific instruments, as shown below.