Qing Zheng
Scientist, HPC Design at Los Alamos National Laboratory
Los Alamos, New Mexico, United States
Summary
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Senior🎓
Top SchoolQing Zheng is a Computer Scientist and HPC storage researcher at Los Alamos National Laboratory with 11 years of experience advancing high-performance and software-defined storage systems. He holds a Ph.D. from Carnegie Mellon and has led or contributed to award-winning projects (IndexFS, DeltaFS, Mochi, KV-CSD) recognized by Supercomputing and multiple R&D 100 awards, reflecting a rare blend of deep research and practical system-building. At LANL he drives exploration of new storage technologies and architects solutions that bridge current lab needs with future exascale visions through strong industry and academic collaboration. Prior roles at New Mexico Consortium and Intel complement a profile that spans experimental research, production-oriented storage design, and reproducible benchmarking. Notably, his work emphasizes in-situ data indexing and software-defined storage, signaling a focus on making extreme-scale data workflows both performant and manageable.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon UniversityMaster of Science (M.S.) Computer Science and Technology, Master of Science (M.S.) Computer Science and Technology at Shanghai Jiao Tong University
Github Skills (24)
filesystem10
transient10
metadata10
indexing10
database10
data-services9
pdl9
mercury7
networking7
shared-memory7
data-structures6
c-library6
rpc6
rdma6
hpc5
Programming languages (3)
Github contributions (5)
pdlfs/indexfs
Jun 2016 - May 2021
Contributions:143 commits, 70 pushes, 1 branch in 4 years 11 months
pdlfs/deltafs-proto
Apr 2020 - Sep 2022
Contributions:1 release, 757 commits, 270 pushes in 2 years 6 months
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