Jorge Menendez

Research Scientist, Neural Interfaces at Meta

New York, New York, United States
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Summary

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Jorge Menendez is a research scientist in neural interfaces at Meta with eight years of experience combining computational neuroscience and machine learning to model biological motor learning. He completed a PhD at UCL's Gatsby Computational Neuroscience Unit, where his work bridged synaptic-plasticity mechanisms and control-theoretic perspectives to explain how mammals learn and adapt. Jorge builds biologically motivated algorithms for recurrent neural networks and uses mechanistic models to link theory with experimental findings. Based in New York, he brings a rare blend of deep academic rigor and applied research experience in industry, informed by interdisciplinary training that also includes cognitive science and classical guitar performance.
code8 years of coding experience
bookDoctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Gatsby Computational Neuroscience Unit, UCL
bookJohns Hopkins University
bookBachelor of Music - BM, Classical Guitar Performance, Bachelor of Music - BM, Classical Guitar Performance at Peabody Conservatory
bookUniversity College London
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Stackoverflow

Stats
92reputation
26kreached
2answers
0questions
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Github Skills (13)

neuroscience10
electrophysiology10
stochastic-processes10
computational-neuroscience10
biomedical10
python9
machine-learning9
pip6
hdf6
pyqt6
matplotlib6
scikit-learn6
virtualenv6

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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jamenendez11/latex-code

Oct 2019 - Jan 2025

Contributions:17 pushes, 1 branch in 5 years 4 months
Contributions:22 commits, 21 pushes, 1 branch in 1 year 11 months
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Jorge Menendez - Research Scientist, Neural Interfaces at Meta