Noah Goodman

Noah D. Goodman is Professor of Psychology and Computer Science at Stanford University. He studies the computational basis of human and machine intelligence, merging behavioural experiments with formal methods from statistics, machine learning, and programming languages. His research topics include language understanding, reasoning, and learning. In addition he explores related technologies such as probabilistic programming languages and deep generative models. Professor Goodman received his Ph.D. in mathematics from the University of Texas at Austin in 2003. In 2005 he entered cognitive science, working as Postdoc and Research Scientist at MIT. In 2010 he moved to Stanford where he runs the Computation and Cognition Lab. His work has been recognized by the J. S. McDonnell Foundation Scholar Award, the Roger N. Shepard Distinguished Visiting Scholar Award, the Alfred P. Sloan Research Fellowship in Neuroscience, seven computational modeling prizes from the Cognitive Science Society, and best paper awards from AAAI, EDM, and other venues. Since 2024, Professor Goodman is also a Research Scientist at Google DeepMind where he focuses on AI safety and language model post-training.