Ryan McCullough is a strategy and innovation leader blending 10 years of architecture, data science, and design experience to shape buildings and cities that perform financially, socially, and environmentally. Based in Portland, he currently leads Strategy + Innovation at Andersen Construction and mentors learners in the University of Washington’s Machine Learning specialization on Coursera. His background as an architectural associate included founding R&D work that combined data analysis, software tools, and immersive UX on platforms like Vive and HoloLens to drive design decisions. Trained in architecture (M.Arch) with complementary studies in psychology, fine arts, and executive data science, he translates cross-disciplinary insight into practical workflows and visualization-driven strategies. Notably, he applies machine learning and research methods not as academic curiosities but as tools to improve project outcomes and long-term urban impact.
10 years of coding experience
5 years of employment as a software developer
Master of Architecture (M.Arch.), Architecture, Master of Architecture (M.Arch.), Architecture at University of Oregon
Machine Learning - Specialization through Coursera, Machine Learning - Specialization through Coursera at University of Washington
Johns Hopkins University
Bachelor of Arts (B.A.), Psychology, Bachelor of Arts (B.A.), Psychology at Hendrix College
An open source glTF format exporter for Autodesk Revit.
Contributions:24 commits, 12 PRs, 16 pushes in 5 months
exporter3d-modelsrevit-apigltf-formatwebgl2
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