معرفی
Noah Goodman is a Professor of Psychology and Computer Science at Stanford University. He holds dual appointments in the Department of Psychology and the Department of Computer Science, reflecting his interdisciplinary work at the intersection of cognitive science and artificial intelligence.
Education: B.A. in Mathematics (1997), B.S. in Physics (1997) from the University of Arizona, and a Ph.D. in Mathematics (2003) from the University of Texas at Austin.
Research focuses on cognitive modeling, probabilistic programming, AI alignment, and the computational foundations of human-like reasoning. Recent work explores topics such as in-context learning strategies, causal abstraction mechanisms, and the ethical implications of advanced AI systems. His lab, the Computation & Cognition Lab, develops tools like NumPyro and frameworks like BoxingGym to advance AI research.
Articles from 2025 highlight trends in AI ethics, cognitive modeling, and symbolic reasoning in neural networks. Notable collaborations include work on self-improving reasoners and value profiles for encoding human variation.
No awards explicitly listed, but contributions to foundational AI research are widely recognized. No student advisees listed in available texts.
Labs/Teams: Computation & Cognition Lab at Stanford University.
