Ryan Steed
Research Scientist, Center For AI Standards And Innovation (CAISI)
United States
Summary
👤
Senior🎓
Top SchoolRyan Steed is a research scientist and policy-minded machine learning specialist with a decade of experience at the intersection of AI, public policy, and standards. Currently at NIST’s Center for AI Standards and Innovation and an AI Policy Fellow at Princeton, he brings rigorous, data-driven research from a PhD in Machine Learning & Public Policy at Carnegie Mellon into government-facing standards work. He is known for clear writing and persuasive verbal communication, translating technical research into actionable policy and interoperable standards. Ryan’s background spans academia and industry research—including a PhD internship at Oracle and long-form research roles—giving him practical experience turning complex models and evaluations into trustworthy, auditable guidance. Colleagues rely on his adaptability and collaborative approach to drive multidisciplinary projects that bridge technical detail and public impact.
10 years of coding experience
2 years of employment as a software developer
North Carolina School of Science and MathematicsBachelor of Science - BS, Computational Economics (Computer Science, Economics & Data Science), Bachelor of Science - BS, Computational Economics (Computer Science, Economics & Data Science) at The George Washington UniversityDoctor of Philosophy - PhD, Machine Learning & Public Policy, Doctor of Philosophy - PhD, Machine Learning & Public Policy at Carnegie Mellon University
Github Skills (29)
audio9
nlp8
python8
natural-language-processing8
machine-learning8
pytorch8
llm7
ai7
deep-learning7
transformer6
speech-recognition6
multimodal6
docstrings6
physics5
inference5
Programming languages (4)
Github contributions (5)
praneesh12/GAT
May 2017 - Jan 2018
Contributions:269 commits in 7 months
ryansteed/ieat
Jul 2020 - Mar 2021
Statistical test for bias in unsupervised image representations.
Contributions:2 releases, 147 commits, 18 pushes in 7 months
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