Jeffrey Gill
Associate Researcher
Cleveland, Ohio, United States
Summary
👤
Senior🎓
Top SchoolJeffrey Gill is a Ph.D.-trained neuroscientist and scientific software developer with 17 years of experience applying computational modeling, data analysis, and visualization to biological and engineering problems. Based at Case Western Reserve University, he develops and deploys bio-inspired navigation algorithms on robotic platforms and has hands-on experience obtaining neural recordings via chronic multi-electrode implants. Proficient in Python and MATLAB, he emphasizes code quality and test automation—evidenced by contributions to the widely used python-neo electrophysiology library where he improved tests and dependency compatibility. His work spans academic teaching, tool development, and translational neurotechnology, bridging theory and real-world systems. Notably, he combines dynamical-systems modeling with practical robotics deployment, demonstrating an uncommon end-to-end skill set from microsurgery to fielded algorithms.
17 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Neurobiology and Neurosciences, Doctor of Philosophy - PhD Neurobiology and Neurosciences at Case Western Reserve University
Github Skills (6)
unit-testing10
neo4j10
python10
numpy10
testing10
electrophysiology9
Programming languages (9)
Github contributions (5)
NeuralEnsemble/python-neo
Aug 2018 - Jan 2021
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:1 review, 60 commits, 19 PRs in 2 years 5 months
Contributions summary:Jeffrey primarily focused on improving the test suite and adding new tests for the `python-neo` repository, specifically targeting the `AnalogSignal`, `IrregularlySampledSignal`, and `AnalogSignalArray` classes. They implemented equality tests and addressed issues related to NumPy compatibility. Furthermore, the user contributed to the release notes, incorporating new IO classes and acknowledging contributors. Their work demonstrates a strong emphasis on code quality, testing, and ensuring the library's compatibility with different versions of dependencies.
neurosciencepythonneofile-formatscomputational-neuroscience
jpgill86/neurotic
Jun 2019 - Jan 2023
Curate, visualize, annotate, and share your behavioral ephys data using Python
Contributions:21 releases, 561 commits, 382 PRs in 3 years 7 months
data-managementneurosciencepythondownload-managervisualize
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