Advanced Computing,
Mathematics, and Data
Advanced Computing,
Mathematics, and Data
Robert Rallo
Division Director
Robert Rallo joined PNNL in 2017 and his research background and interests are at the intersection of chemistry and computer science. His scientific contributions and research areas focus on data-driven analysis and modeling of complex systems, machine learning (ML), artificial intelligence (AI), and urban data science.
Angela Norbeck
Group Lead - Software and Data Systems Engineering Group
Angela Norbeck draws from her years of experience in biological data analysis and data sciences to explore solutions in biosecurity, cybersecurity, and computing. Specific areas of focus in computing include data integration, big data management, using high-performance computing(HPC) for performance optimization, and user interfaces with intelligent controls and monitoring.
Panos Stinis
Group Lead - Computational Mathematics Group
Panos Stinis specializes in scientific computing with current application interests in model reduction of complex systems, singularity detection and tracking, particle filtering, mesh refinement, and ML.
Mahantesh Halappanavar
Group Lead - Data Science Group
Mahantesh Halappanavar conducts research and development in the broad areas of high-performance scientific computing and data sciences. His research has spanned multiple technical foci and includes combinatorial scientific computing; design and implementation of parallel graph algorithms; ML; and application of graph theory and game theory to solve problems in applied domains, such as scientific computing, electric power grids, cybersecurity, and life sciences.
Kevin Barker
Group Lead - High-Performance Computing Group
Kevin Barker drives research in novel computing architectures, cybersecurity, and large-scale performance prediction methods. He leads the advanced architecture testbed capability at PNNL which integrates empirical and predictive analysis to gain insight into the impact of emerging and novel computing technologies. He also conducts research into hardware/software co-design methodologies, bringing together capabilities within the high-performance computing group to design the next generation of specialized architectures and software tools.
Joint Appointees
Thom Dunning - University of Washington/Battelle Fellow
Mahadevan Ganesh - Colorado School of Mines
Auroop Ganguly - Northeastern University
Ian Gorton - Northeastern University/PNNL Lab Fellow
Ananth Kalyanaraman - Washington State University
George Karniadakis - Brown University
Saday Sadayappan - University of Utah
Edoardo Serra - Boise State University
Alex Tartakovsky - University of Illinois Urbana-Champaign/PNNL Lab Fellow
Nathan Wiebe - University of Toronto
Yinghui Wu - Case Western Reserve University