Ben Cohen
Principal Engineer at Numenta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolBen Cohen is a Principal Engineer based in San Francisco with a decade of experience building and optimizing machine learning systems from research prototypes to production. At Numenta he leads efforts to squeeze new levels of training and inference efficiency, bridging hardware and software teams while driving both strategy and hands-on implementation. His background spans academic research at CMU and NIH—where he modeled spiking neural networks and applied compressed sensing to GWAS—giving him a rare combination of neuroscience intuition and practical ML engineering. He’s passionate about accelerating research iteration by streamlining the development cycle and asking sharper questions, and he frequently translates theoretical insights into deployable, efficient models.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Neuroscience, Bachelor of Science - BS, Neuroscience at Westminster College
Github Skills (16)
algorithms10
intel7
machine-learning5
quantization5
pytorch5
deep-learning4
neural-network4
large-language-models4
python4
biomedical4
inference3
language-model2
oracle2
streaming2
streaming-data2
Programming languages (3)
Github contributions (5)
benja-matic/nupic.research
May 2021 - Nov 2021
Experimental algorithms. Unsupported.
Contributions:224 pushes, 11 branches in 6 months
data-structuresunsupported
benja-matic/Balance_Circuits
Oct 2017 - May 2018
Contributions:31 commits, 57 pushes, 1 branch in 7 months
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