Thomas Gregory

Data Scientist II

Columbus, Ohio, United States
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Summary

👤
Senior
🎓
Top School
Thomas Gregory is a data scientist and bioinformatician with over a decade of experience building algorithms and production pipelines for NGS data, currently advancing analytics at Forge Biologics. He blends software engineering (Python, R, Rust, Go, D, C, Snakemake) with domain expertise in genomics to deliver AWS-hosted real-time analysis, backend development for life-science products, and clinical-ready variant transformations. His work ranges from developing novel rAAV characterization tools to managing Slurm-based Linux compute environments and producing publication-quality figures with R/ggplot2 and Illustrator. An active contributor to bioconda-recipes, he has hands-on DevOps experience packaging bioinformatics tools across platforms—an often-overlooked skill that keeps research software reproducible and deployable. Based in Columbus, Ohio, he pairs academic rigor with pragmatic production engineering to move NGS workflows from prototype to clinic.
code11 years of coding experience
job9 years of employment as a software developer
bookBachelor's Degree, Biochemistry, Bachelor's Degree, Biochemistry at Western Kentucky University
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Github Skills (12)

bioinformatics10
bash10
build-system10
conda10
package-management10
cicd9
automation9
automations9
macos8
linux8
docker4
dockers4

Programming languages (8)

JavaShellNimRustDJavaScriptZigJupyter Notebook

Github contributions (5)

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bioconda/bioconda-recipes

Jul 2021 - Mar 2022

Conda recipes for the bioconda channel.
Role in this project:
userDevOps Engineer & Bioinformatics Contributor
Contributions:8 commits, 6 PRs, 11 comments in 8 months
Contributions summary:Thomas primarily contributed to the build and deployment processes within the bioconda-recipes repository. They made modifications to build scripts for bioinformatics tools, including recontig, fade, and nopilesum, often adapting them for different operating systems (Linux, macOS). Their work involved integrating dependencies, setting up compiler environments (D compiler), and ensuring the correct execution of the tools within the conda environment. The user also updated the build process for existing tools, adjusting versions and resolving platform-specific issues.
biocondacondabioinformaticspackage-management
blachlylab/fishnet

May 2019 - Jun 2021

Contributions:3 releases, 7 pushes, 1 branch in 2 years 2 months
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