Pulong Ma
Assistant Professor
Department of Statistics, Iowa State University
3417 Snedecor Hall, 2438 Osborn Dr, Ames, IA 50011
plma [at] iastate [dot] edu
My research develops Bayesian methods and theory at the intersection of spatial statistics and machine learning for understanding complex space-time processes and physical systems. My current statistical work is mainly focused on spatial generative modeling, Bayesian tree methods, and space-time covariance modeling involving tools such as Gaussian process and point process. These methods have been used to address real-world problems in remote sensing, climate science, natural hazards, engineering, and physical sciences. My research has been partially supported by DOE Genesis Mission DE SC0026595, NSF DMS-2348154, and NSF DMS-2348163.