Andrew Robbins
Research Application Specialist (Advanced Research Computing)
Ann Arbor, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Robbins is a Research Application Specialist in advanced research computing with 11 years of hands-on experience bridging bioinformatics, CI/CD automation, and research IT. Based in Ann Arbor, he has supported lab-to-production workflows at Michigan Medicine and now at the University of Michigan ITS, bringing practical expertise in packaging and reproducible software delivery. His open-source work on conda-forge staged-recipes shows a knack for cross-platform build automation and dependency management that improves reliability for scientific software. Trained in biochemistry and music at Case Western Reserve University, he combines analytical rigor with creative problem solving to streamline computational research environments.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Biochemistry/Music, Bachelor of Arts - BA, Biochemistry/Music at Case Western Reserve UniversityHigh School Diploma, High School Diploma at The Loomis Chaffee School
Github Skills (12)
automation10
github-ci10
conda-forge10
conda10
automations10
githubaction-workflow10
build-automation10
cicd10
yaml9
bash9
script9
python8
Programming languages (24)
Github contributions (5)
conda-forge/staged-recipes
Aug 2022 - Dec 2022
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Role in this project:
DevOps Engineer / Automation Engineer
DevOps Engineer / Automation EngineerContributions:13 reviews, 9 commits, 10 PRs in 3 months
Contributions summary:Andrew primarily focused on automating and improving the build and testing processes within the `conda-forge/staged-recipes` repository. Their contributions included modifications to the build scripts (`build.sh`, `bld.bat`) and configuration files (`.ci_support/build_all.py`, `.github/workflows/scripts/`, `.ci_support/`), indicating a strong focus on streamlining the recipe building workflow. They addressed issues related to compiler flags, dependency management, and cross-platform compatibility, demonstrating expertise in building conda packages and CI/CD automation. These changes collectively aimed to improve the efficiency and reliability of the package build process.
placeconda-forgerecipescondasubmit
conda-forge/unearth-feedstock
Nov 2022 - Dec 2024
A conda-smithy repository for unearth.
Contributions:4 reviews, 16 PRs, 15 pushes in 2 years
pythonunearthcondasmithy
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