Navid Zobeiry
Associate Professor
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolNavid Zobeiry is an Associate Professor in Materials Science & Engineering at the University of Washington and an adjunct in Aeronautics & Astronautics, blending eight years of faculty experience with deep training in structural engineering (M.A.Sc., Ph.D., UBC). He leads interdisciplinary research at the intersection of materials science, data science, and advanced manufacturing, focusing on physics-informed machine learning for smart testing, automated sensing and ML-driven smart manufacturing, and multi-fidelity simulation for accelerated aerospace design and certification. Navid’s work uniquely couples experimental characterization with computational and data-driven methods to both improve material qualification and shorten engineering timelines. He serves on editorial and professional boards in composites, signaling a strong impact on the field’s standards and communication. Based in Seattle, he brings a civil/structural engineering foundation to cutting-edge materials and aerospace challenges, often translating traditional testing paradigms into automated, AI-enhanced workflows.
8 years of coding experience
13 years of employment as a software developer
M.A.Sc, Civil Engineering/Structural Engineering, M.A.Sc, Civil Engineering/Structural Engineering at The University of British ColumbiaBachelor of Science - BS, Civil Engineering, Bachelor of Science - BS, Civil Engineering at University of Tehran
English, Persian
Github Skills (73)
fastapi10
python10
json-schema10
swagger10
openapi10
async10
swagger-ui10
api10
rest10
pipeline10
json10
redoc10
high-performance9
dataflow9
automation9
Programming languages (5)
Github contributions (5)
nadzhou/motvizpymini
Mar 2020 - Dec 2022
Contributions:1 PR, 1 push, 1 branch in 2 years 8 months
nadzhou/BioinformaticsII
Oct 2018 - Dec 2019
Contributions:1 PR, 40 pushes, 2 branches in 1 year 2 months
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