معرفی
Jordan Watts is an Associate Professor in the Department of Mathematics at Central Michigan University. His research focuses on differential topology, generalized smooth structures (e.g., diffeology, stacks), symplectic geometry, and applications of mathematical techniques to drought data analysis. He holds a PhD from the University of Toronto (2012) under Yael Karshon and completed postdoctoral work at the University of Illinois, University of Colorado Boulder, and the National Drought Mitigation Center.
Education: B.Sc. (2004), M.Sc. (2006) from University of Calgary; M.Sc. (2007), Ph.D. (2012) from University of Toronto.
Research interests include Lie group actions, Hamiltonian systems, orbifolds, and data clustering techniques for precipitation patterns. He advises students on projects ranging from topological data analysis to geometric topology.
Professional roles include serving as Computational Mathematics and Analytics minor advisor and Graduate Coordinator at CMU. He contributed to the Drought Risk Atlas project, developing clustering algorithms for drought station data.
Recent work involves diffeological groupoids, classifying spaces, and cohomological studies of transitive groupoids. His research bridges pure mathematics with applied problems in environmental science.
