Bio
Ryan Landfield contributes to ORNL’s Quantum-HPC Integration group by leveraging his years of Quantum Computing (QC) user-support and vendor-liaison experience, where he helped translate diverse usage cases and user feedback into operational insight. In his current role, he develops hybrid workflow strategies, benchmarking tools, and algorithmic-intent frameworks that inform ORNL’s QCHPC roadmap and emerging community standards. His work bridges scientific user needs, multi-vendor capabilities, and cross-lab coordination to advance scalable Quantum-HPC integration. Ryan’s previous role at ORNL involved serving as a user-support liaison between OLCF quantum computing users and the quantum computing vendors. In addition, he evaluated and documented the end-to-end quantum computing user experience, optimizing a quantum computing user support strategy.
Prior to joining ORNL, Ryan was a postdoctoral researcher with the astrophysics group at the University of Tennessee, focusing on development of a code framework for gravitational wave signals analysis in astrophysical simulation. He obtained his PhD in theoretical and computational astrophysics from the University of Tennessee, where his research focused on the sensitivity of core-collapse supernova simulations to the nuclear equation of state, and the development of an equation of state code infrastructure. He previously obtained a B.S. in physics and an M.S. in aeronautics & astronautics from Stanford University, and worked as a spacecraft design engineer at Space Systems/LORAL in Palo Alto, California.