Team Lead Manager at Pacific Northwest National Laboratory
Richland, Washington, United States
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Summary
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Ryan Danehy is a software engineering team lead at Pacific Northwest National Laboratory who combines hands-on development with leadership of AI workflow teams across HPC and supercomputing environments. With an MS in Intelligent Systems Engineering and three years of professional experience, he focuses on machine learning, quantum computing exploration, containerized workflows, and managing large scientific software stacks. He bridges research and production by deploying ML and computational modeling pipelines on national lab supercomputers and coordinating cross-disciplinary teams. His background in bioengineering-adjacent research and hands-on work with acoustic tweezers and nanoparticle delivery gives him uncommon domain insight for translating experimental science into scalable computational solutions.
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