Chief Executive Officer & Founder at Stanford University
Albuquerque, New Mexico, United States
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Summary
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Senior
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Top School
Stefan Domino is a PhD-trained computational fluid mechanician and entrepreneur with 14 years of experience advancing low-Mach turbulent flow methods for extreme-scale simulation and marine ethology applications. As CEO and founder of the nonprofit Computational Marine Ethology Research Institute and an adjunct professor and visiting fellow at Stanford, he bridges first-principles physics, numerical methods, and high-performance computing to drive interdisciplinary research and education. Previously a Distinguished Member of Technical Staff at Sandia, he originated the open-source Nalu code base and led development of unstructured, massively parallel solvers applied to national-scale problems. His recent work spans SciML for turbulence, generative-AI-assisted scientific coding, and federated LLM evaluations—underscoring a rare blend of deep modeling expertise and modern AI tooling. Based in Albuquerque, he combines academic mentorship with hands-on code leadership and nonprofit stewardship to translate foundational fluid mechanics into novel marine behavioral insights.
Nalu: a generalized unstructured massively parallel low Mach flow code designed to support a variety of open applications of interest built on the Sierra Toolkit and Trilinos solver Tpetra solver stack. The open source BSD, clause 3 license model has been chosen for the code base. See LICENSE for more information.
Contributions:6 releases, 34 reviews, 422 commits in 6 years 4 months
Contributions:2 PRs, 90 pushes, 2 branches in 6 years 6 months
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