Geoffrey Barrett
Staff Software Engineer at Aetion
Culver City, California, United States
Summary
👤
Senior🎓
Top SchoolGeoffrey Barrett is a Staff Software Engineer with a decade of experience building scalable data and real-time systems at the intersection of healthcare and neuroscience. He has led teams developing privacy-preserving synthetic healthcare data products and architected production SDKs and plugin infrastructures that turn offline analyses into real-time pipelines. His background in neuroengineering drove the creation of an open-source VR treadmill and 15+ analysis packages for large-scale electrophysiology, and he has applied ML to decode spatial information in Alzheimer’s models. Notably, he improved Fast Ripple detection for epilepsy by using an artificial neural network to reduce false discoveries, demonstrating a knack for translating research-grade signal processing into deployable algorithms. Comfortable across Python, MATLAB, C#, and Unity3D, he blends hands-on engineering with scientific rigor to deliver pragmatic, clinically relevant software. Based in Culver City, he balances product delivery at Aetion with deep domain expertise from academic neurotech projects.
9 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree Biomedical Engineering, Bachelor’s Degree Biomedical Engineering at Drexel University
English, Spanish
Github Skills (37)
computational-neuroscience10
tint10
electrophysiology10
neurons9
threshold9
python9
minimize9
starlark9
neuroscience9
normal9
spike8
golang8
opengl7
visualization7
vispy6
Programming languages (5)
Github contributions (5)
HussainiLab/gebaSpike
Mar 2019 - Jul 2020
A Python Spike Sorting Package designed to minimize time spent cleaning spikes in Tint.
Contributions:43 commits in 1 year 4 months
cleaningpythonspikestintspike-sorting
GeoffBarrett/BatchTINTV2
Jun 2016 - May 2019
Contributions:1 release, 47 commits, 54 pushes in 2 years 11 months
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