Hao Li
NVM Reliability Engineer at Intel Corporation
Liaoning, China
Summary
🤩
Rockstar🎓
Top SchoolHao Li is an NVM Reliability Engineer at Intel with 11 years of experience bridging materials science and system-level reliability for non-volatile memory. He holds a PhD in Materials Science from Peking University and expanded his expertise as a visiting graduate student in electrical engineering at UC Berkeley, giving him a rare combination of deep materials knowledge and practical device/architecture insight. At Intel he focuses on ensuring long-term reliability of advanced memory technologies, applying both experimental and modeling skills. An active open-source contributor to the WebGPU effort, he has contributed backend API work around GPU query and timestamp mechanisms, reflecting a strong appreciation for low-level hardware-software interfaces. Based in Liaoning, China, Hao brings a research-driven mindset to industrial engineering challenges and a proven ability to translate complex physical phenomena into robust, testable systems.
11 years of coding experience
Visiting Graduate Student, Electrical and Electronics Engineering, Visiting Graduate Student, Electrical and Electronics Engineering at University of California, BerkeleyDoctor of Philosophy - PhD, Material Sciences, Doctor of Philosophy - PhD, Material Sciences at Peking UniversityBachelor's degree, Material Science and Engineering, 2/64, Bachelor's degree, Material Science and Engineering, 2/64 at Zhengzhou University
Stackoverflow
11reputation
2kreached
1answer
0questions
Github Skills (7)
webgpu10
gpu10
idl10
api-design10
w3c9
crosswalk6
cordova-plugin6
Programming languages (10)
Github contributions (5)
gpuweb/gpuweb
Mar 2020 - Aug 2022
Where the GPU for the Web work happens!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:29 reviews, 24 commits, 20 PRs in 2 years 5 months
Contributions summary:Hao primarily contributed to the WebGPU specification, focusing on the Query API. Their work included adding and modifying definitions for various query types like occlusion, pipeline statistics, and timestamp queries. They added functionalities such as `writeTimestamp` and implemented valid usage rules for APIs like `resolveQuerySet`, demonstrating a deep understanding of the underlying GPU architecture and API design. Their contributions also included refactoring and moving existing code for improved API design.
gpu-programminggpuwebgl2webgpugpgpu-computing
haoxli/360-video-gallery
Mar 2017 - Jul 2022
Contributions:4 pushes in 5 years 5 months
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