Aran Nayebi

Aran Nayebi is an Assistant Professor at Carnegie Mellon University, affiliated with the Machine Learning & Neuroscience Institute. His research focuses on integrating machine learning and neuroscience to understand biological intelligence and develop biologically plausible AI models. He explores embodied agents, neural network dynamics, and human-AI alignment through game-theoretic frameworks.

Key research interests include reverse-engineering natural intelligence through embodied agents, developing models that align with brain dynamics (e.g., zebrafish agents, rodent tactile processing), and addressing ethical challenges in AI alignment. His work bridges computational neuroscience and neural network design, emphasizing scalable models and biologically inspired algorithms.

Recent publications span topics such as AI-driven economic policy (Universal Basic Income), neuroAI turing tests, and model-brain comparison techniques. His interdisciplinary approach addresses both technical challenges (e.g., neural network scaling) and societal implications of AI.