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.
8 years of coding experience
Doctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Gatsby Computational Neuroscience Unit, UCL
Johns Hopkins University
Bachelor of Music - BM, Classical Guitar Performance, Bachelor of Music - BM, Classical Guitar Performance at Peabody Conservatory
Contributions:22 commits, 21 pushes, 1 branch in 1 year 11 months
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Jorge Menendez - Research Scientist, Neural Interfaces at Meta