About Me

I am Pulong Ma, an assistant professor in the School of Mathematical and Statistical Sciences at Clemson University since Fall 2021. Before that, I was a postdoctoral fellow at the Statistical and Applied Mathematical Sciences Institute (SAMSI) and Duke University from 2018-2021, where I participated in the 2018-2019 research program on Model Uncertainty: Mathematical and Statistical (MUMS). While at SAMSI and Duke, I was working with Prof. Jim Berger and Prof. Li Ma in Uncertainty Quantification and Bayesian Statistics. In 2018, I received my Ph.D. in statistics from University of Cincinnati under the guidance of Prof. Emily Kang and Prof. Bledar Konomi with my dissertation topic in Spatial and Spatio-Temporal Statistics.

My statistical research is stimulated by real-world challenges and aims at addressing real-world problems in physical sciences including remote sensing science and climate science, engineering science, and medical science. I work closely with climate scientists and ocean scientists to address data analytic problems in remote sensing and coastal flood hazard studies. My current research interest is focused on the deveopment of flexible statistical methods to understand physical and environmental processes. It spans the following areas of statistics and machine learning:


Contact Information

Pulong Ma
Assistant Professor
School of Mathematical and Statistical Sciences
Clemson University
Clemson, SC 29634
Email: plma [at] clemson.edu
Office: O-304 Martin Hall