Eshed Margalit
Director Of Machine Learning Research at NOETIK
United States
Summary
👤
Senior🎓
Top SchoolEshed Margalit is a machine learning research leader with nine years of experience applying neural networks to biological systems, currently directing ML research at Noetik where he builds models for precision immunotherapies. He earned a PhD in neuroscience from Stanford developing topographic deep networks that predict human visual system structure, function, and development, and has translated that foundation into industry work on self-supervised, queryable ML systems. Eshed bridges rigorous neuroscience insight with production-minded model design, having progressed rapidly through technical leadership roles at Noetik after a stint as Principal AI Scientist at a stealth startup. Known for making models that are both interpretable and practically interfaced via web tooling, he focuses on bringing experimental neuroscience advances into therapeutic and product contexts.
9 years of coding experience
6 years of employment as a software developer
BS Computational Neuroscience, BS Computational Neuroscience at University of Southern CaliforniaNeurosciences Ph.D. Program Neuroscience Psychology, Neurosciences Ph.D. Program Neuroscience Psychology at Stanford University School of MedicineCastro Valley High School
Hebrew, Spanish
Github Skills (6)
css7
javascript7
python6
tensorflow5
relevance2
deep-learning1
Programming languages (5)
Github contributions (5)
eshedmargalit/paperaweek
Sep 2019 - Dec 2022
Paper a Week Website
Contributions:2 releases, 14 reviews, 366 commits in 3 years 4 months
cssjavascript
neuroailab/TDANN
Jun 2023 - Mar 2025
Topographic Deep Artificial Neural Networks
Contributions:1 release, 4 PRs, 6 pushes in 1 year 9 months
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