Aran Nayebi
Assistant Professor at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
👤
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.
10 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 (65)
python10
deep-learning10
convolutional-neural-networks10
jax10
music10
recurrent10
data-science10
tensorflow10
music-generation10
pytorch10
machine-learning10
robotics9
neural-network9
deterministic9
docker9
Programming languages (4)
Github contributions (5)
neuroagents-lab/brainmodel_utils
Sep 2022 - Feb 2025
Contributions:12 PRs, 72 pushes, 9 branches in 2 years 5 months
neuroailab/convrnns
Feb 2022 - Aug 2022
Contributions:11 commits, 8 pushes, 1 branch in 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.