Jean Luca Bez
Research Scientist at Lawrence Berkeley National Laboratory
Berkeley, California, United States
Summary
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RockstarJean Bez is a Data Management Research Scientist at Lawrence Berkeley National Laboratory with a decade of experience in parallel and distributed systems, specializing in Parallel File Systems and High-Performance I/O. He holds a PhD in Computer Science from UFRGS and transitioned from a postdoc at LBNL to a career-track research role while also co-founding and shaping architecture at beecrowd. Jean combines deep academic rigor—recognized by national awards for his master's work—with practical open-source impact, contributing backend recipe and packaging updates to the widely used Spack ecosystem. Based in Berkeley, he bridges high-performance research and production engineering, often applying HPC tooling to real-world data management challenges. Outside work he pursues languages and travel, a habit that complements his collaborative international experience including a stint at the Barcelona Supercomputing Center.
11 years of coding experience
Github Skills (10)
package-manager-tool10
hdf10
package-manager10
python10
package-management10
scientific-computing10
build-tools9
cmake9
hpc8
linux7
Programming languages (6)
Github contributions (5)
spack/spack
Nov 2021 - Dec 2022
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Role in this project:
Backend Developer
Backend DeveloperContributions:75 reviews, 11 commits, 16 PRs in 1 year 1 month
Contributions summary:Jean primarily contributes to the Spack package manager, focusing on adding and updating recipes for various scientific software packages. They modify `package.py` files to include new versions, fix dependencies, update maintainers, and add or modify build configurations. Their work spans multiple packages, including HDF5-related tools like h5bench and HDF5 VOL-ASYNC, as well as data analysis tools like PDC, Drishti, and Py-darshan.
compilerpackage-managerpythonspackhpc
hpc-io/h5bench
Jun 2021 - Jan 2023
A benchmark suite for measuring HDF5 performance.
Contributions:7 releases, 28 reviews, 535 commits in 1 year 7 months
hdfhdf5benchmarkhpc
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