Greg Fedewa

Bioinformatics Scientist

United States
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Summary

👤
Senior
🎓
Top School
Greg Fedewa is an independent contractor and computational biologist with a decade of experience building reproducible bioinformatics pipelines, large-scale metagenomic analyses, and ML models for biomarker discovery. He holds a PhD in Bioinformatics from UCSF (DeRisi lab) and applied those skills as a postdoc at Cambridge developing novel antigenic deconvolution methods for viral evolution and immune response. Greg has led pipeline and cloud infrastructure work at startups and labs—processing thousands of samples, authoring pipeline features in nf-core/mag, and contributing to grant and hiring processes. He blends wet-lab understanding (from early molecular work and viral genomics) with production-grade software practices (Nextflow, Terraform, AWS/GCS) to move projects from data to decision. Notably, he built a protein language model to predict enzyme activity and prioritized experimental variants, illustrating a rare mix of machine learning and hands-on experimental assay design. Based in the United States, he thrives at the interface of computational method development, reproducible workflows, and translational microbiome/viral research.
code10 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at UCSF
bookB.S., Biochemistry & Molecular Biology, B.S., Biochemistry & Molecular Biology at Michigan State University
languagesSpanish
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Github Skills (188)

notebook10
slurm10
immunology10
markdown10
javascript10
binning10
reproducible-science10
singularity10
nextflow10
pipeline10
fasta10
aggregate10
jupyter10
classification10
typescript10

Programming languages (14)

C#C++RustNextflowHTMLGroovyJupyter NotebookTypeScript

Github contributions (5)

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harper357/bam_spot_check

Jul 2017 - Feb 2018

Contributions:17 commits, 8 PRs, 12 pushes in 7 months
python3-scriptpythonspotpython3bam
harper357/Racmacs

Dec 2020 - Apr 2021

Racmacs R package for performing antigenic cartography (https://acorg.github.io/Racmacs)
Contributions:1 PR, 4 pushes, 7 branches in 3 months
r-packagerstatscartography
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