Tom Griffiths

Thomas L. Griffiths, the Henry R. Luce Professor of Information Technology, Consciousness, and Culture at Princeton University, has made significant contributions to the fields of human decision-making and computation. Griffiths' research is primarily based on the connection between human decision-making and problem-solving methods in computation. His work extends to his role as a professor at Princeton University, where he also directs the Computational Cognitive Science Lab.

Griffiths' expertise is further demonstrated in his book co-authored with Brian Christian, "Algorithms to Live By: The Computer Science of Human Decisions," which was recognized as one of the "Best Books of 2016" by MIT Technology Review. This book delves into the application of computer algorithms for solving common decision-making problems. His scholarly pursuits have been recognized by numerous institutions. In 2011, the Association for Psychological Science awarded him the Janet Taylor Spence Award for Transformative Early Career Contributions. Following this, in 2012, he received the American Psychological Association's Award for Distinguished Scientific Early Career Contributions to Psychology. His research has also earned him the National Academy of Sciences' Troland Research Award (2019) and a John Simon Guggenheim Memorial Foundation fellowship (2017).

In addition to his academic pursuits, Griffiths held a joint faculty appointment in the Department of Computer Science and the Department of Psychology at Princeton University. He was also a senior fellow at the Berkeley Institute for Data Science, emphasizing his proficiency within the realm of data science and its application to the field of cognitive science. His research, focusing on the connections between human and machine learning, uses statistical and artificial intelligence concepts to deepen understanding of human cognition. This research and his insights have been shared at academic and industry conferences, demonstrating his ability to communicate complex concepts clearly and effectively.