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Noah Goodman is a Professor at Stanford University who works at the intersections of psychology, computer science, and linguistics. His research is primarily focused on cognitive psychology and computational modeling, aiming to bridge the gap between human cognition and machine learning. Goodman has a robust academic background with a B.A. and B.S. from the University of Arizona and a Ph.D. in Mathematics from the University of Texas at Austin. He has held several prestigious positions, including Research Scientist at the Massachusetts Institute of Technology and Post-Doctoral Associate at the same institution. Throughout his career, he has received multiple awards for his work in computational modeling, including recognition from the Cognitive Science Society and the International Joint Conference on Artificial Intelligence. In addition to his research, Goodman is deeply involved in academic mentorship, overseeing doctoral dissertations and advising master's programs. His teaching portfolio includes courses in psychology, computer science, and symbolic systems at Stanford.
Stanford University • Stanford, CA
Serving as a professor in psychology and a professor by courtesy in computer science.
Massachusetts Institute of Technology • Cambridge, MA
Conducting research in cognitive science and computational modeling.
Massachusetts Institute of Technology • Cambridge, MA
Engaged in post-doctoral research focusing on human cognition and computational systems.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.