Renaud Danhaive
Staff Machine Learning Engineer at Motif
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolRenaud Danhaive is a Staff Machine Learning Engineer with eight years of experience bridging academic research and product engineering to apply AI to performance-driven design and architecture. With a PhD candidate/postdoc background at MIT in Building Technology and advanced degrees in civil engineering and architecture, he blends rigorous structural understanding with cutting-edge ML methods to optimize buildings and products. He has led ML teams and shipped design-exploration tooling at Autodesk and now Motif, translating research prototypes into production plugins and web tools for architects and engineers. Renaud also created and taught MIT’s Creative Machine Learning for Design course, mentoring students on generative models and dimensionality reduction applied to real-world design problems. Notably, his work spans the full pipeline—from 3D-printed façade fabrication and parametric CAD integrations to large-scale visualization and optimization—showing a rare combination of hands-on fabrication, software engineering, and scholarly impact. Based in Cambridge, MA, he focuses on how AI can augment human creativity to deliver better, more performant built environments.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Building Technology, GPA: 4.9/5.0, Doctor of Philosophy - PhD, Building Technology, GPA: 4.9/5.0 at Massachusetts Institute of TechnologyBachelor of Science - BS, Architecture and Engineering, Summa cum Laude, Bachelor of Science - BS, Architecture and Engineering, Summa cum Laude at Ecole polytechnique de Bruxelles
French, English, Dutch
Github Skills (5)
grasshopper3
dse3
multi-objective-optimization3
moo3
optimization2
Programming languages (2)
Github contributions (5)
danhaive/6s198
Sep 2018 - Feb 2022
Contributions:27 pushes in 3 years 5 months
danhaive/4.453x-visualizations
Oct 2020 - Oct 2020
Contributions:12 pushes, 1 branch in 3 days
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