Yufeng Long
CAE Engineer at Meyers Manx
Rancho Palos Verdes, California, United States
Summary
👤
Senior🎓
Top SchoolYufeng Long is a CAE engineer with over 25 years of expertise in automotive body structure design, materials and joining modeling, and CAE toolchain development, now applying that depth to EV and 3D-printed vehicle programs. He has led lightweight vehicle and safety optimization efforts at companies including Canoo and Divergent 3D, built high-fidelity material and joining databases, and established end-to-end HyperWorks-based CAE capabilities for startup EV programs. A former Global CAE Material Lead at General Motors, he blends hands-on simulation (Hypermesh, Optistruct, LS-DYNA, Radioss) with process automation and topology optimization to drive manufacturable, safety-compliant designs. Based in Rancho Palos Verdes, CA, he pairs a PhD in Mechanical & Manufacturing from the University of Michigan with practical experience in novel materials (UHSS, aluminum, magnesium, composites) and emerging production methods like 3D metal printing. An unexpected detail: he also explores NLP and deep neural networks in Python, suggesting a cross-disciplinary curiosity that informs his data-driven CAE work.
9 years of coding experience
5 years of employment as a software developer
Ph. D, Mechanical & Manufacturing, Ph. D, Mechanical & Manufacturing at The University of Michigan, Ann Arbor
Github Skills (28)
transfer-learning8
pytorch7
python7
nlp7
deep-learning6
natural-language-processing6
machine-learning6
lightning6
artificial-intelligence6
lifecycle6
transformer5
bert5
ai5
medicine5
data-science5
Programming languages (4)
Github contributions (5)
flyingwaters/leedcode
Feb 2017 - Sep 2018
Contributions:88 pushes, 1 branch, 1 comment in 1 year 7 months
flyingwaters/EDA-Easier-Data-Augment-for-chinese
Nov 2019 - Nov 2019
Contributions:9 commits, 9 pushes, 1 branch in 1 day
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