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Advanced Computing,
Mathematics, and Data

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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. 

Robert Rallo

Draguna Vrabie

Deputy Division Director and Chief Data Scientist

Draguna Vrabie is deputy division director and chief data scientist in the Data Sciences and Machine Intelligence group. Her work is at the intersection of control system theory and machine learning and is aimed at the design of adaptive decision and control systems. Her current focus is on deep learning methodologies and algorithms for design and operation of high-performance, cyber-physical systems.

Prior to joining Pacific Northwest National Laboratory in 2015, she was a senior scientist at United Technologies Research Center in East Hartford, Connecticut. Vrabie holds a doctorate in electrical engineering from the University of Texas at Arlington, and a ME and BS in automatic control and computer engineering from Gheorghe Asachi Technical University, Iaşi, Romania.

Vrabie Draguna

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.

Angela Norbeck

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.

Panos Stinis

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.

Mahantesh Halappanavar

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.

Kevin Barker

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

 

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