PNNL

At Pacific Northwest National Laboratory (PNNL), Dr. Mark Raugas is the Distinguished Scientist for Data Analytics in the AI and Data Analytics (AIDA) Division of PNNL’s National Security Directorate (NSD).  He is an applied research mathematician and data scientist who has led research efforts in mathematics, physics, advanced computing, cybersecurity, and artificial intelligence (AI).

Dr. Raugas has led research activities in High Performance Data Analytics (HPDA) — a portfolio including research in topological data analysis, graph analytics, hypergraph analytics, novel high-performance computing (HPC) networks and software runtimes for shared and distributed memory programming models of HPC, including work maturing the Rust programming language for use in HPC.  He has also contributed to artificial intelligence (AI) investments at PNNL, with a focus on applying AI techniques to research in static and dynamic program analysis, the analysis of the security of hardware architectures used in AI, and how AI systems can be used to aid mathematicians conducting research.

Dr. Raugas was involved in the joint Department of Energy/Department of Defense (DoD) Project 38 activity focused on heterogeneous computing to support purpose-built processors and accelerators for scientific and analytic workloads of interest for scientific discovery and national security. He also served as the HPC system software lead and then later as the Chief Scientist of the PNNL Data Model Convergence Laboratory Directed Research and Development initiative, advancing the state of the art of computing in a converged, post-Moore’s law era.

In September 2021, Dr. Raugas began an Intergovernmental Personnel Act (IPA) assignment from PNNL to the DoD as the Technical Director of the Laboratory for Physical Sciences (LPS) in College Park, Maryland. In that role, he coordinated the strategic technical direction of physical sciences research activities at LPS, including research in materials science, advanced sensors, microelectronics, semiconductors, solid-state physics, HPC, quantum physics, and quantum information sciences.

Dr. Raugas returned to PNNL in September 2022.  He then led the Mathematics of Artificial Reasoning in Science (MARS) initiative as Chief Scientist and Initiative Lead; contributed to the Laboratory Objective on Advancing AI and Computer Architecture; is the Deputy PI of PNNL’s DOE/SC ASCR ENCODE program in advancing Electronic Design Automation (EDA); and contributes to PCSD research strategy in Quantum Information Sciences for Domain Science Applications.

• Geometry
• Topology
• Physics
• HPC
• Machine Learning
• Artificial Intelligence
• Computer Architecture
• Program Analysis

• PhD in Mathematics, Columbia University, MA., MPhil, 2001
• BA in Mathematics with Honors, BA in Physics, New York University, 1996
• Regents Diploma with Honors, the Bronx High School of Science, 1992

• Senior Member, Association for Computing Machinery
• Member, External Advisory Board, University of Maryland Cybersecurity Center 

• Alumni Scholar, NYU 
• Magna Cum Laude, NYU 
• Graduate Fellowship, Columbia University

• https://orcid.org/0000-0002-5597-8781