Matthew Keaton
Doctoral Researcher at Max-Planck-Institut für Neurobiologie des Verhaltens – caesar
Bonn, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolMatthew 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.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 4.00, Master of Science - MS, Computer Science, 4.00 at West Virginia UniversityHigh School, High School at Morgantown High SchoolDoctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at The University of Bonn
English
Github Skills (18)
classification3
supervised-learning3
refactoring3
wikipedia3
datasets3
bounding2
time-series2
benchmark2
pytorch2
semantic-segmentation1
image-annotation1
temporal-data1
image-processing1
labelimg1
computer-vision1
Programming languages (3)
Github contributions (5)
mrkeaton1/Plant-Domain-Classifier
Apr 2020 - Jul 2020
Contributions:32 commits in 2 months
mrkeaton1/mrkeaton1.github.io
Aug 2021 - Feb 2022
Contributions:16 pushes, 1 comment in 5 months
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