Pulong Ma is in the SAMSI MUMS program. He received his Ph.D. in Statistics from University of Cincinnati. He has worked on spatial and spatio-temporal statistics with applications in remote sensing science, climate science and environmental science. In particular, he developed flexible (e.g., nonstationary and nonseparable) covariance function models for massive spatial and spatio-temporal datasets. He also proposed a statistical downscaling framework to simulate high-resolution geophysical fields in global observing system simulation experiments. While at SAMSI, he will be working with Professor Jim Berger in Bayesian statistics and uncertainty quantification. He is currently exploring interesting applications with focus on building statistical emulators for expensive computer models. More information can be found at my personal website https://pulongma.github.io.