Paxon Frady
Researcher In Residence at UC Berkeley
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolPaxon Frady is a computational neuroscientist and researcher in residence based in Berkeley with 11 years of experience probing how brains implement algorithms. He blends deep academic training (PhD in Neuroscience, BS in Computation and Neural Systems from Caltech) with industry research at Intel and hands-on neuroscience roles at UC Berkeley, Inscopix, and Numenta. His work spans advanced machine learning and neural data analysis—early projects include applying manifold learning and distance-matrix methods to identify homologous neurons from voltage-sensitive dye recordings. Comfortable moving between code, experiments, and theory, he has built web-facing tools and analysis pipelines that translate complex neural models into usable systems. Colleagues value his ability to connect mechanistic hypotheses with scalable computational approaches that illuminate brain computation.
11 years of coding experience
3 years of employment as a software developer
University of California San DiegoBachelor of Science (BS), Computation and Neural Systems, Bachelor of Science (BS), Computation and Neural Systems at California Institute of Technology
English
Github Skills (30)
neuroscience10
brian10
temporal9
computational-neuroscience9
hierarchical9
python9
simulation-framework9
code-generation9
deep-learning9
spiking-neural-networks9
differential-equations9
hierarchical-temporal-memory9
intelligent8
science8
scale8
Programming languages (2)
Github contributions (5)
epaxon/epaxon.github.io
Aug 2014 - Apr 2021
Contributions:16 commits, 50 pushes, 1 branch in 6 years 9 months
epaxon/HDlanguageDetection
Jan 2016 - Sep 2017
Contributions:37 pushes, 3 branches in 1 year 8 months
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