Director: Zhang Jun
Tenured professor in the Department of Psychology and the Department of Statistics at the University of Michigan, a fellow of the American Psychological Association, and a fellow of the Psychological Society. He is currently the founding co-editor-in-chief of the journal “Information Geometry”. He has served as vice president, chairman and executive committee member of the American Mathematical Psychology Association, director and executive director of the Federation of National Brain and Behavioral Sciences Societies (FABBS), and chaired the M3 Laboratory (“Mind, Machine, Mathematics”). He has long carried out research on computational cognitive modeling, machine learning, artificial intelligence and brain-inspired intelligence. In recent years, he has focused on information geometry, using differential geometry methods to describe the manifold of probability density distribution function and the dual properties of information space, and proposed “statistical mirror symmetry” principle, dedicated to promoting Shannon entropy and classical information coding theory.
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