Jessica Forbes

Staff Software Engineer at SoFi

Iowa City, Iowa, United States
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Summary

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Jessica Forbes is a seasoned software engineer and engineering leader based in Iowa City with 13 years of experience. She is currently a Staff Software Engineer at SoFi, after previously serving as Engineering Manager and DevOps-focused leader, where she guided teams of 5+ engineers and built internal tools for cloud infrastructure and automated workflows. Her technical strengths span Python, Java, SQL, and C++, with a strong track record in data processing, automation, and medical imaging pipelines. She earned a Master’s in Biomedical Engineering from the University of Iowa, complementing an earlier Bachelor’s in Mathematics and Biology. A notable open-source contributor, she has advanced the Nipype project by improving the ANTs interface for registration and denoising, adding CLI options and tests, and wrapping the DenoiseImage tool. Her early research background includes developing open-source GUI tools for medical imaging, building a 7-million-document MongoDB imaging repository, and collaborating with hospital partners to translate research into practical tools.
code13 years of coding experience
job10 years of employment as a software developer
bookBachelor’s Degree, Mathematics, Biology, Bachelor’s Degree, Mathematics, Biology at Carroll College
bookMaster’s Degree, Biomedical/Medical Engineering, Master’s Degree, Biomedical/Medical Engineering at University of Iowa
bookEdinburgh Napier University
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Github Skills (11)

workflow-engine10
python10
data-science10
neuroimaging10
brain-imaging10
commandline9
cli9
command-line9
command-line-interface9
commandline-interface9
big-data8

Programming languages (2)

C++Python

Github contributions (5)

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nipy/nipype

Oct 2012 - Feb 2016

Workflows and interfaces for neuroimaging packages
Role in this project:
userBack-end Developer & Data Scientist
Contributions:17 commits, 4 PRs, 6 comments in 3 years 4 months
Contributions summary:Jessica primarily contributed to the `nipype` repository by enhancing the `ants` interface, focusing on registration and image denoising. They added new command-line options and example parameters to the `ants.registration.py` file, improving its functionality. Furthermore, they wrapped the `DenoiseImage` tool from ANTs, integrating it with nipype and adding related testing infrastructure. Their work also involved fixing bugs and streamlining the output options for the denoising interface.
workflowneuroimagingpythondata-scienceworkflow-engine
Contributions:130 commits, 5 pushes, 3 branches in 1 year 2 months
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Jessica Forbes - Staff Software Engineer at SoFi