Aaron Earle-richardson
Durham, North Carolina, United States
Summary
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Top SchoolAaron Earle-richardson is a scientific data manager and research engineer with eight years building neural signal processing pipelines for EEG, ECoG, and iEEG, and deep PyTorch expertise applied to high-gamma decoding and GPU-accelerated tensor methods. At Duke’s Cogan Lab he led a lab-wide migration from MATLAB/Windows to Python/Linux, rebuilt data systems on the BIDS standard, and authored the open-source IEEG_Pipelines used for reproducible intracranial electrophysiology analysis. He combines rigorous scientific computing (Python, C/C++, CI/CD, AWS, HPC) with hands-on hardware design—CAD, 3D printing, and medical device development under 21 CFR 820.30—and co-designed a patented junctional tourniquet that earned Innovate Carolina recognition. Author of conference posters and a first-author BCI manuscript in preparation, he’s focused on roles at the intersection of BCI, neurotech, and scientific computing where reproducible infrastructure and scalable ML meet clinical-grade device considerations.
7 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Biomedical/Medical Engineering, Bachelor's degree, Biomedical/Medical Engineering at The George Washington UniversityBachelor's degree, Bioengineering and Biomedical Engineering, Bachelor's degree, Bioengineering and Biomedical Engineering at Cornell UniversityMaster of Engineering - MEng, Biomedical/Medical Engineering, Master of Engineering - MEng, Biomedical/Medical Engineering at Duke University Pratt School of Engineering
Stackoverflow
77reputation
3kreached
3answers
9questions
Github Skills (50)
visualization10
python10
statistics10
machine-learning10
matlab10
bids10
neuroscience10
neuroimaging10
computational-neuroscience9
datasets9
electrophysiology9
mri9
mne-python9
preprocessing8
querying7
Programming languages (4)
Github contributions (5)
coganlab/BIDS_coding
Apr 2021 - Oct 2024
A conversion script designed to enable fast conversion of large neuro data sets
Contributions:1 review, 56 PRs, 310 pushes in 3 years 6 months
neuroimagingpythondata-setsneuroscienceconversion-script
coganlab/SentenceRep_analysis
Aug 2022 - Mar 2025
Analysis of the Sentence Rep Data
Contributions:13 PRs, 501 pushes, 7 branches in 2 years 7 months
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