Ali Hummos

Postdoctoral Researcher at Massachusetts Institute of Technology

San Francisco, California, United States
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Summary

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Senior
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Top School
Ali Hummos is a computational neuroscientist and postdoctoral researcher based in San Francisco with eight years of experience bridging biological principles and machine learning. He develops dynamical algorithms that expand computation into neural network weight matrices, drawing on top-down feedback control ideas inspired by the brain. His toolset spans Python, TensorFlow, PyTorch, deep reinforcement learning, and evolutionary methods, with applied work in audio-visual speech recognition and multi-object tracking. Founder of Synaptic Intelligence and former AI researcher at Deepen AI, he combines entrepreneurial drive with rigorous academic research at MIT. Trained as both an MD and a PhD in computational neuroscience, he uniquely blends clinical insight in psychiatry with algorithmic innovation, informing models grounded in biological plausibility.
code8 years of coding experience
job9 years of employment as a software developer
bookDoctor of Medicine (M.D.), Medicine, Doctor of Medicine (M.D.), Medicine at University of Jordan
bookUniversity of Missouri
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Stackoverflow

Stats
19reputation
17kreached
2answers
0questions
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Github Skills (10)

pytorch10
python10
data-science9
jax9
tensorflow9
machine-learning9
deep-learning9
raspberry-pi6
numpy6
rtf1

Programming languages (2)

TeXPython

Github contributions (5)

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hummosa/MD

Sep 2020 - Jun 2021

Contributions:2 PRs, 120 pushes, 7 branches in 9 months
hummosa/EnergyARC

Jan 2020 - Jan 2020

Contributions:9 commits, 1 push in 25 days
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