Jun Zhang

(734) 763-6161

Applications:
Social Science
Methodologies:
Machine Learning
Relevant Projects:

Army Research Office (ARO), Air Force Office for Scientific Research (AFOSR)


Connections:

Board Member, Federation of Associations for Brain and Behavioral Sciences (FABBS)

Jun Zhang

Professor

Mathematics, Statistics, and Psychology, LSA

Professor of Psychology and Professor of Statistics, College of Literature, Science, and the Arts

Jun Zhang, PhD, is Professor of Mathematics, Statistics, and Psychology in the College of Literature, Science, and the Arts at the University of Michigan, Ann Arbor.

Prof. Zhang develops algebraic and geometric methods for data analysis. Algebraic methods are based on theories of topology and partially ordered sets (in particular lattice theory); an example being formal concept analysis (FCA). Geometric methods include Information Geometry, which studies the manifold of probability density functions. He interests include mathematical psychology and computational neuroscience, broadly defined to include neural network theory and reinforcement learning, dynamical analysis of nervous system (single neuron activity and event-related potential), computational vision, choice-reaction time model, Bayesian decision theory and game theory.