Noah Fahlgren

Director, Data Science Facility

Missouri, United States
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Summary

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Noah Fahlgren is a data science and bioinformatics leader with 12 years of experience directing core facilities at the Donald Danforth Plant Science Center, currently serving as Director of the Data Science Facility. He bridges molecular and computational biology—holding a Ph.D. in Molecular and Cellular Biology—with practical engineering, contributing to open-source plant phenotyping tools like PlantCV and packaging efforts in the widely used bioconda ecosystem. Noah focuses on making spectral index analysis and reproducible pipelines accessible to plant scientists, improving documentation, testing hygiene, and automated builds. Based in Missouri, he combines hands-on backend development and release engineering with strategic facility leadership, ensuring research teams can scale computational workflows. An understated strength is his ability to translate wet-lab problems into robust software and packaging solutions that integrate into community tools and distributions.
code12 years of coding experience
job13 years of employment as a software developer
bookPh.D., Molecular and Cellular Biology, Ph.D., Molecular and Cellular Biology at Oregon State University
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Github Skills (15)

spec10
automation10
conda10
build-system10
automations10
bash10
sed10
spectrum10
python10
spectra10
frequency-analysis10
package-management10
spectral10
documentation9
bioinformatics9

Programming languages (7)

CSSRShellTeXJavaScriptJupyter NotebookPython

Github contributions (5)

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danforthcenter/plantcv

Mar 2014 - Nov 2022

Plant phenotyping with image analysis
Role in this project:
userBackend Developer & Data Scientist
Contributions:33 releases, 326 reviews, 2256 commits in 8 years 9 months
Contributions summary:Noah focused on improving the documentation of several spectral index functions, including the addition of formulas and the renaming of variables for consistency. They also removed testing code from several test files. The user's contributions centered around documenting existing and new plant phenotyping functionality, particularly within the spectral analysis components of the "Plant phenotyping with image analysis" project.
plantimage-analysissciencephenotypingbioinformatics
bioconda/bioconda-recipes

Jan 2019 - Aug 2020

Conda recipes for the bioconda channel.
Role in this project:
userAutomation Engineer / Build & Release Engineer
Contributions:6 commits, 14 PRs, 26 pushes in 1 year 7 months
Contributions summary:Noah primarily focused on updating and maintaining the PlantCV recipe within the bioconda-recipes repository. Their contributions centered around modifying the `build.sh` script, which included updating package versions, fixing syntax issues, and adjusting dependencies. This involved using `sed` for in-place text manipulation within the `setup.py` file to manage build configurations. The user also updated the package metadata and made changes to the noarch section, directly contributing to the automated build and packaging process for the PlantCV software within the conda environment.
recipescondabiocondabioinformaticspackage-management
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Noah Fahlgren - Director, Data Science Facility