Aran Nayebi
Assistant Professor at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolAran Nayebi is an Assistant Professor of Machine Learning at Carnegie Mellon University whose research bridges neuroscience and AI to reverse-engineer animal intelligence and build next-generation autonomous agents. With a PhD in Neurosciences and an MS in Computer Science from Stanford, he brings 11 years of experience spanning academic research (MIT postdoc) and industry practice (Adobe ML scientist intern). His lab work is jointly affiliated with CMU’s Neuroscience and Robotics Institutes, reflecting a rare blend of theory, neurobiology, and embodied systems engineering. Aran’s projects emphasize biologically grounded models of intelligence and practical agent deployment, and he has a public lab plan that outlines ambitious neuro-agent roadmaps. He combines rigorous experimental approaches with systems thinking to translate neuroscientific insights into robust ML architectures for real-world autonomy.
11 years of coding experience
1 year of employment as a software developer
High School, High School at Woodside Priory SchoolDoctor of Philosophy (Ph.D.) Neurosciences, Doctor of Philosophy (Ph.D.) Neurosciences at Stanford University
Github Skills (61)
music-generation10
pytorch10
convolutional-neural-networks10
python10
data-science10
machine-learning10
recurrent-neural-networks10
neuroscience10
deep-learning10
tensorflow10
jax10
computational-neuroscience9
robotics9
mujoco9
keras9
Programming languages (7)
Github contributions (5)
MattVitelli/GRUV
Jul 2015 - Nov 2020
GRUV is a Python project for algorithmic music generation.
Contributions:11 commits, 3 PRs, 11 pushes in 5 years 5 months
music-generationpython
ganguli-lab/website
Jun 2017 - Jun 2022
Ganguli Lab website
Contributions:55 commits, 1 PR, 53 pushes in 5 years
lablab-website
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