-  PNNL researchers Bill Cannon and Haluk Resat were selected to present at the Quantitative Biology conference in Hawaii in February. Q-Bio brings together scientists and engineers focused on all areas of quantitative biology. Read more.
-  PNNL computer scientists Darren Kerbyson and Sriram Krishnamoorthy are members of project teams that have been awarded time on leadership class computing systems through the Department of Energy INCITE program. Read more.
About the Division
Researchers in PNNL's Computational Sciences & Mathematics Division are focused on the "Science of Computing" and are working to create new computational capabilities to solve problems using extreme scale simulation and data analytics.
The Computational Sciences & Mathematics Division (CSMD) at Pacific Northwest National Laboratory provides science, technologies, and leadership to solve significant problems of national interest in energy, environment, national security, and fundamental science. At CSMD, our research is aimed at creating new, state-of-the-art computational capabilities using extreme-scale simulation and peta-scale data analytics that enable scientific breakthroughs.
We are developing intelligent hardware and software solutions that analyze, store, and share data in ways that enable innovative research, while reducing both cost and time. These research and development activities are giving rise to scientific breakthroughs in high-impact areas, including infrastructures, computing architectures, and advanced analytical techniques.
In addition, CSMD offers investigator-initiated and multi-institutional collaborative research, unique scientific instrumentation, and national program leadership to translate the latest discoveries into technologies for the scientific community.
To address a constantly shifting set of opportunities as new areas of inquiry become technically feasible for the first time, CSMD is cultivating research capabilities in
- Computational Biology and Bioinformatics
- Computational Mathematics
- Data Intensive Scientific Computing (DISC)
- High Performance Computing
- Scientific Data Management
Director, Computational Sciences & Mathematics