Skip to Main Content U.S. Department of Energy
Data Sciences

Operating on the data-to-knowledge continuum, PNNL distills large, fast, distributed data into knowledge to support decision processes. Data researchers apply expertise in data engineering, semantic and human language technologies, machine learning, data architectures, systems integration, and software development to create advanced computational solutions that address our nation’s complex data and analytic challenges.


Data Management and Integration

PNNL has extensive experience designing and developing reliable systems to collect, transport, store, and provide data used in computational systems and/or by users while adhering to policies and standards defining what data can be collected and how it can be used.

Machine Learning

At PNNL, machine learning is used to address critical national and global issues by applying scientific and mathematical techniques in artificial intelligence to multiple data sources and communicating these findings to the community. Researchers also develop novel, interpretable, and scalable machine learning algorithms and applications, designed to run on systems as large as current DOE leadership class facilities all the way to commodity hardware.

Computing Research

Research Areas