Tom Griffiths is the Henry R. Luce Professor of Information Technology, Consciousness and Culture in the Departments of Psychology and Computer Science at Princeton University. His research explores connections between human and machine learning, using ideas from statistics and artificial intelligence to understand how people solve the challenging computational problems they encounter in everyday life.
Tom completed his PhD in Psychology at Stanford University in 2005, and taught at Brown University and the University of California, Berkeley before moving to Princeton. He has made contributions to both machine learning and cognitive science across a wide range of topics, including how computers use language and make inferences about human behavior, how people learn causal relationships and concepts, the similarities and differences between human and machine learning, and predicting and understanding human decisions.
His current work is focused on improving our definition of rational decision-making and on the ways that big data is transforming behavioral science. He has received awards for his research from organizations including the American Psychological Association, the National Academy of Sciences, and the Guggenheim Foundation, and is co-author of the book Algorithms to Live By, introducing ideas from computer science and cognitive science to a general audience.