Robert Gibboni

Data Scientist

City of Kingston, New York, United States
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Summary

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Robert Gibboni is a data scientist and neuroscientist with 12 years of experience applying experimental and computational methods to decode brain function and deliver real-world solutions. He blends rigorous hypothesis-driven research—from a PhD at UC Berkeley and postdoctoral work on real-time fMRI and brain decoding—with production data science at DrivenData, bridging reproducible neuroimaging pipelines and applied ML. His open-source contributions to pycortex show a practical focus on documentation and user-facing UX, improving visualization and interactivity for fMRI analysis. Comfortable working on compute clusters and real-time systems, he has a track record of turning complex biosignal problems into usable tools and experiences, including real-time art-science installations and wearable-driven music systems.
code12 years of coding experience
job9 years of employment as a software developer
bookThe University of Arizona
bookDoctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at University of California, Berkeley
languagesFrench, German
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Stackoverflow

Stats
71reputation
4kreached
1answer
0questions
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Github Skills (11)

python10
sphinx10
documentation10
website-development9
webui9
web-development9
user-interface8
interface-design8
ui-design8
pandas6
regex6

Programming languages (10)

TypeScriptPowerShellJavaShellCSSMakefileJavaScriptHTML

Github contributions (5)

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gallantlab/pycortex

Mar 2017 - Feb 2019

Pycortex is a python-based toolkit for surface visualization of fMRI data
Role in this project:
userFull-stack Developer
Contributions:70 commits, 30 PRs, 125 pushes in 1 year 11 months
Contributions summary:Robert primarily contributed to the documentation and web interface of the pycortex project. They added structure for Sphinx gallery, integrated the Alabaster theme, and added descriptions for views in the database documentation. Furthermore, they modified the UI to include an opacity slider for the data, contributing to the project's user-facing features. These changes suggest a focus on improving the project's documentation and user interface.
pythonvisualizationfmrisurface-visualizationneuroimaging
r-b-g-b/init.el

Mar 2020 - Nov 2025

Contributions:122 pushes, 3 branches in 5 years 8 months
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