(734) 763-6161
Applications: Mathematical Psychology, Social Sciences Methodologies: Formal Concept Analysis, Topological Data Analysis 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, Psychology

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. Zhang also has interests in machine learning, including reproducing kernel Banach space (RKBS) and reinforcement learning (RL).