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Tom
Griffiths

Professor of Psychology and Computer Science; Henry R. Luce Professor of Information Technology, Consciousness, and Culture.

Website
609-258-
Research interests: Machine learning; developing mathematical models of higher level cognition and understanding the formal principles that underlie people’s ability to solve everyday computational problems.

Related News

Graphic with text "Commendation for Outstanding Teaching".

Faculty commended for outstanding teaching

Graphic with text "Commendation for Outstanding Teaching".

Faculty commended for outstanding teaching

illustration of bias in vision
In a recent study, Princeton researchers described how people are prone to distort spatial information based on their shared expectations about a scene. The researchers studied multiple observers' recollections of the location of dots on computer screens.

Shared expectations help shape visual memory

Oil painting of stone tower
Researchers used machine learning to create the first large-scale, data-driven study to illuminate how culture affects the meanings of words.

Machine learning reveals role of culture in shaping meanings of words

Tom Griffiths portrait
Tom Griffiths, the Henry R. Luce Professor of Information Technology, Consciousness, and Culture of Psychology and Computer Science

Schmidt DataX Fund supports research projects that harness data science to speed up discovery

Photo of Thomas Griffiths
Thomas Griffiths. Photo by Tania Lombrozo, Department of Psychology

Griffiths receives Troland prize from the National Academy of Sciences

Affiliations

Computer Science

Computer Science

Leading the field through foundational theory, applications, and societal impact

Psychology

Tom Griffiths Professor of Psychology and Computer Science; Henry R. Luce Professor of Information Technology, Consciousness, and Culture. Website Email 609-258- Research interests: Machine learning; developing mathematical models of higher level cognition and understanding the formal principles that underlie people's ability to solve everyday computational problems. Related News Faculty commended for outstanding teaching Faculty commended […]