Matthew Keaton

Doctoral Researcher at Max-Planck-Institut für Neurobiologie des Verhaltens – caesar

Bonn, North Rhine-Westphalia, Germany
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Summary

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Matthew Keaton is a doctoral researcher in computational neuroscience based in Bonn, combining eight years of research and engineering experience to study perception and information processing in biological neural networks using artificial neural networks. He bridges machine learning, computer vision, and neuroscience—previous work includes few-shot domain adaptation for cell segmentation, novelty detection with isometric constraints, and audio spectrotemporal classification. With an MS in Computer Science (4.0) and hands-on industry experience at GE Aviation, he pairs rigorous algorithmic and mathematical thinking with practical engineering skills. Outside the lab he’s an avid climber and mountain runner, a detail that mirrors his experimental patience and taste for hard, incremental challenges. He’s driven by the long-term goal of using machines to better understand brains and, in turn, make those machines smarter.
code9 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS, Computer Science, 4.00, Master of Science - MS, Computer Science, 4.00 at West Virginia University
bookHigh School, High School at Morgantown High School
bookDoctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at The University of Bonn
languagesEnglish
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Github Skills (17)

ide6
java6
classification3
refactoring3
material-you3
linux3
windows3
datasets3
color-scheme3
time-series2
wikipedia2
pytorch2
macos2
supervised-learning2
material-design2

Programming languages (5)

JavaC++RustJupyter NotebookPython

Github contributions (5)

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Contributions:32 commits in 2 months
Contributions:16 pushes, 1 comment in 5 months
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