Greg Lee
Environmental Analyst Chemist at Lawrence Livermore National Laboratory
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolGreg Lee is an Environmental Analyst/Chemist with 13 years of professional experience based in the San Francisco Bay Area, currently applying scientific rigor at Lawrence Livermore National Laboratory. Trained with a BS in Chemistry from Cal State Hayward/UC Berkeley, he blends analytical chemistry expertise with environmental monitoring and compliance work. He also contributes technical software skills to scientific computing ecosystems, notably enhancing Python-based package management in the widely used Spack project to better integrate scientific libraries and build environments. That cross-disciplinary experience enables him to bridge lab-based analysis and computational reproducibility, improving how environmental data and tools are packaged and shared. Colleagues rely on him for precise, auditable workflows and pragmatic solutions that account for both field constraints and software dependencies. Greg’s background suggests a rare combination of hands-on chemistry, regulatory-savvy, and practical open-source engineering.
13 years of coding experience
Bachelor of Science (BS), Chemistry, Bachelor of Science (BS), Chemistry at Cal State Hayward/UC BerkeleyEl Cerrito
Github Skills (8)
package-management10
scientific-computing10
build-automation10
build-tools9
hpc8
package-manager8
package-manager-tool8
python8
Programming languages (9)
Github contributions (5)
spack/spack
Jan 2015 - Oct 2022
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Role in this project:
Back-end Developer & Automation Engineer
Back-end Developer & Automation EngineerContributions:25 reviews, 210 commits, 181 PRs in 7 years 10 months
Contributions summary:Greg's primary contribution was the addition and modification of various Python modules and libraries. They added and modified python modules like py-pyside, py-matplotlib, py-virtualenv, py-ipython, etc. These modules were used to build a flexible package manager. The user's work included creating package descriptions and configurations, and adjusting build steps to correctly integrate external dependencies. The work appears focused on setting up the environment for scientific computing.
compilerspythonradiussplatformslinux
LLNL/pynamic
Jul 2013 - Nov 2021
The Python Dynamic Benchmark
Contributions:4 releases, 2 reviews, 42 commits in 8 years 5 months
pythonbenchmarkingbenchmarkproxy-applicationmodeling
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