Guanglei Zhou
Research Intern at NVIDIA
United States
Summary
👤
Senior🎓
Top SchoolGuanglei Zhou is a Ph.D. candidate in computer engineering at Duke with a decade of hands-on experience applying machine learning to Electronic Design Automation (EDA), particularly post-training techniques for generative models like LLMs and diffusion models. He has driven research and productization at top semiconductor labs—multiple Intel CAD research internships and a current NVIDIA design automation research role—where he developed PatternPaint, Intel’s first ML-based layout pattern generator and contributed to papers accepted at DAC and SPIE DTCO. His work blends few-shot learning with template-based denoising that achieved a 10x improvement in noise removal efficiency, demonstrating a rare combination of practical engineering impact and strong academic rigor. A UofT M.A.Sc. alumnus who began his engineering training in Hong Kong, he often translates cutting-edge generative AI advances into tools that meet strict manufacturing design rules. Less obvious: he’s repeatedly moved prototypes into internal toolchains and given invited talks on generative AI for layout pattern generation, showing an emphasis on adoption as well as innovation.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Duke UniversityMaster of Applied Science, Computer Engineering, Master of Applied Science, Computer Engineering at University of TorontoBachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at City University of Hong Kong
Github Skills (6)
ios-application7
xamarin-forms4
ios3
github3
reactiveui3
xamarin2
Programming languages (1)
Github contributions (5)
tangguanglei/learngit
May 2018 - Dec 2018
Contributions:34 commits, 3 pushes, 1 branch in 6 months
tangguanglei/thinkjava
Sep 2019 - Jul 2021
Contributions:13 pushes, 1 branch in 1 year 9 months
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