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Tom Griffiths is a Professor in the Departments of Psychology and Computer Science at Princeton University, where he directs the Computational Cognitive Science Lab. His research focuses on understanding the mathematical foundations of human cognition, particularly how humans learn, make decisions, and optimize reasoning under uncertainty. He employs Bayesian models to characterize human inductive biases and investigates how similar abilities might be replicated in machines through meta-learning. Griffiths has published extensively on topics including the interplay between cognitive resources and decision-making, the impact of inductive biases on cultural evolution, and the implications of large datasets for psychological research. His notable works include ‘Algorithms to Live By,’ which outlines practical strategies for everyday decision-making, and a variety of influential papers bridging psychology and artificial intelligence. He collaborates with graduate students across interdisciplinary fields like Psychology, Computer Science, and Neuroscience, contributing to innovative research that employs both theoretical and experimental methodologies to better understand cognitive processes.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.