Director
John R. Johnson
John R. Johnson serves as director of the Institute of Quantum Sciences at Pacific Northwest National Laboratory (PNNL) and is a principal advisor in PNNL’s Integrated Discovery Sciences Directorate. He brings decades of research and leadership experience spanning quantum information science, computational science, cybersecurity, high-performance computing, artificial intelligence, and machine learning. His primary interests include computer architecture and the design and optimization of algorithms for complex scientific challenges.
Executive Officer
Marvin Warner
Dr. Marvin G. Warner serves as Executive Officer for the Institute for Quantum Sciences at PNNL. He is a senior materials scientist whose work spans quantum materials, quantum computing, advanced manufacturing, and scientific computing, with an emphasis on building the scientific, technical, and organizational capabilities required to transition quantum information science from fundamental research to operational impact.
Chief Scientist
Mark Raugas
Dr. Mark Raugas is the Chief Scientist for the Institute for Quantum Sciences at PNNL. He is a mathematician and physicist who currently works in the fields of AI, quantum information sciences, and advanced computing.
Jay Bardhan
Computational Scientist
Jay Bardhan is a computational scientist with the Systems Modeling and Computational Science team in PNNL’s Environmental Molecular Sciences Division and the Environmental Molecular Sciences Laboratory (EMSL) user program.
Anne Chaka
Computational Scientist
Dr. Anne Chaka is a senior research scientist in the Geochemistry group at Pacific Northwest National Laboratory (PNNL), where she applies computational methods to understand quantum phenomena and chemistry in complex environments.
Karol Kowalski
Laboratory Fellow, Chemical Physics Theory Group
Dr. Kowalski is an expert in advancing electronic structure methods and parallel algorithms for many-body methods, and applying these formalisms to tackle complex chemical processes. Over the last seven years he has been coordinating the development of NWChem computational chemistry software at PNNL.
Chenxu Liu
Computer Scientist
Chenxu Liu is a physicist, currently working as a quantum scientist. Liu joined the High-Performance Computing (HPC) group at Pacific Northwest National Laboratory in 2023. His research focuses on quantum optics and its application in designing quantum computing devices and control protocols, quantum communication using photonic graph states, entanglement purification and concentration, quantum algorithms applied to near-term quantum hardware, as well as quantum computing architecture design.
Andrew Lumsdaine
Laboratory Fellow, Advanced Computing, Mathematics & Data Division
Andrew Lumsdaine is an internationally recognized expert in the area of high-performance computing who has made important contributions in many of the constitutive areas of HPC. In particular, he has contributed in the areas of HPC systems, programming languages, software libraries, and performance modeling.
Chris Oehmen
Senior Research Scientist
Chris Oehmen received his B.A. in physics and mathematics from Saint Louis University in 1995. He earned M.S. and Ph.D. degrees in biomedical engineering from the University of Memphis/University of Tennessee, HSC Joint program in 1999 and 2003, respectively where he was a DOE Computational Science Graduate Fellow.
Bo Peng
Computational Scientist
Bo Peng obtained his BS in chemistry from Nankai University in 2005, and his PhD in theoretical chemistry from the University of Washington in 2016. He then joined PNNL as a Linus Pauling fellow in 2016, working on the development of low-scaling coupled cluster approach and its related high-performance computing library.
Michael Spradling
Principal Advisor
Michael Spradling has served as an advisor for research program development and operations at PNNL since 2014. He leverages program development, sponsor-relations, and leadership experience to elevate strategic efforts to sustain funding and deliver science and technology programs sponsors.
Sam Stein
Quantum Computer Scientist
Sam Stein obtained his MS in Data Science from Fordham University in New York. His research focused on topics such as Quantum Deep Learning, a Quantum Machine Learning Framework, and Quantum Generative Adversarial Networks.
Brent VanDevender
Physicist
Dr. VanDevender is an experimental nuclear physicist with research interests divided between basic science and applications that benefit from his nuclear physics and radiation detection background.