Noah Benson

Senior Data Scientist

Cleveland, Ohio, United States
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Summary

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Senior
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Top School
Noah Benson is a Senior Data Scientist with 13 years of experience who combines applied data science with domain interest in visual neuroscience and brain anatomy. Based in Cleveland, he contributes to high-impact open-source neuroimaging tooling such as fMRIPrep, where he’s improved BOLD-to-T1w registration workflows and refactored core pipeline logic to boost reproducibility and robustness. His background in business/managerial economics complements his technical work, enabling him to translate complex analytical problems into practical, auditable solutions. Licensed as a life insurance agent, he also brings client-facing experience in financial planning and risk management, an uncommon blend that sharpens his communication and stakeholder alignment skills.
code13 years of coding experience
bookBachelor of Business Administration - BBA, Business/Managerial Economics, Bachelor of Business Administration - BBA, Business/Managerial Economics at Southern New Hampshire University
bookCuyahoga Community College
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Stackoverflow

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Github Skills (15)

nipype10
prepros10
work-flow10
workflow-engine10
preprocessing10
python10
image-processing10
neuroimaging10
preprocess10
brain-imaging10
mri10
fs9
bids9
surface8
surf8

Programming languages (13)

JavaCVueHTMLJupyter NotebookMATLABJuliaDockerfile

Github contributions (5)

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nipreps/fmriprep

Dec 2019 - Apr 2020

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Role in this project:
userBack-end Developer
Contributions:23 commits, 1 PR, 16 comments in 4 months
Contributions summary:Noah's contributions center around modifying core workflows within the fMRIPrep pipeline, specifically concerning BOLD image registration. They implemented functionality to initialize BOLD-to-T1w registration using header information, offering an alternative to the standard registration approach. Further modifications include fixing workflow connections, and refactoring registration workflow logic, to enhance the reliability and flexibility of the fMRIPrep pipeline. Additionally, the user is responsible for updating the codebase to incorporate recent merges from the upstream repository.
neuroimagingdiversetransparentpipelinefmriprep
noahbenson/Air.jl

Oct 2019 - Jul 2022

Light-weight functional collections and utilities for Julia.
Contributions:2 reviews, 217 commits, 1 PR in 2 years 9 months
lightlight-weightcollectionsjulia
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Noah Benson - Senior Data Scientist