Taylor Reiter
Scientific Consultant at Taylor Reiter
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolTaylor Reiter is a computational biologist and scientific consultant with nine years of experience turning sequencing data into actionable insights for biotech teams and academic labs. They design and implement reproducible, automated pipelines using Python, R, Bash, Snakemake and Nextflow to accelerate discovery and clarify IP strategy for pre–Series A startups. With a PhD from UC Davis and postdoctoral stints that include data‑intensive biology and computational bioscience fellowships, Taylor blends rigorous research training with practical engineering. They are passionate about democratizing scientific computing through open, accessible educational materials—empowering researchers to run and understand their own analyses. Based in Philadelphia, Taylor brings a rare mix of hands‑on workflow engineering and science communication that helps teams scale reproducible research.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Food Science, Doctor of Philosophy (Ph.D.), Food Science at University of California, DavisBachelor of Arts, Human Evolutionary Biology, Bachelor of Arts, Human Evolutionary Biology at Harvard UniversitySummit High School
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (200)
transcriptomics10
sketching10
stable10
querying10
assembly10
python10
nf-core10
data-wrangling10
venn10
pypi10
forge10
genomes10
genomics10
conda-forge10
minhash10
Programming languages (19)
Github contributions (5)
taylorreiter/2020-dissertation
Oct 2020 - Nov 2020
Contributions:40 commits in 20 days
Arcadia-Science/seqqc
Oct 2022 - Feb 2023
A Nextflow pipeline to identify quality control issues with new sequencing data.
Contributions:1 release, 40 reviews, 39 PRs in 3 months
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