Zhen Peng
Postdoctoral Researcher at Pacific Northwest National Laboratory
United States
Summary
👤
Senior🎓
Top SchoolZhen Peng is a postdoctoral researcher at Pacific Northwest National Laboratory with 11 years of experience focused on parallel and high-performance computing, especially designing and optimizing parallel solutions for graph-based applications and DNN inference. He earned his Ph.D. in Computer Science from William & Mary, where he combined research and teaching roles under Prof. Bin Ren, and previously completed BS/MS degrees at Huaqiao University in topics including wireless sensor and fog computing. Zhen’s work spans compilers, graph processing, and scalable inference pipelines, and he has industry research experience from internships at Kuaishou Technology and PNNL prior to his postdoc. Known for a methodical, systems-oriented approach, he brings both deep academic rigor and practical optimization experience to make graph analytics and neural inference run efficiently at scale.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Wireless Sensor Network, Mobile Computing, Fog Computing, Master's degree, Wireless Sensor Network, Mobile Computing, Fog Computing at Huaqiao UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at William & Mary
Chinese, English
Github Skills (20)
approximate9
nearest-neighbors7
high-performance6
compiler-construction6
intermediate6
parallel6
approximate-nearest-neighbor-search5
similarity-search4
shortest-path4
vldb3
frontend3
nearest-neighbor-search3
optimization3
programming-language3
compile-time3
Programming languages (3)
Github contributions (5)
johnpzh/parallel_ANNS
Nov 2019 - Nov 2022
Parallel Approximate Nearest Neighbor Search
Contributions:118 commits, 2 PRs, 116 pushes in 3 years
nearest-neighborapproximate-nearest-neighbor-searchnearestparallelsimilarity-search
johnpzh/bfs_simd_benchmarks
May 2017 - May 2019
Contributions:277 commits, 257 pushes, 1 branch in 2 years
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