Texas A&M University statistician Huiyan Sang has been selected to receive the American Statistical Association’s 2018 ENVR Early Investigator Award, presented by the ASA Section on Statistics and the Environment (ENVR).
The award is given in recognition of outstanding contributions to the development of methods, issues, concepts, applications and initiatives in environmental statistics — an interdisciplinary endeavor in which outstanding contributions often transcend the boundaries of traditional fields.
Sang, an associate professor of statistics who joined the Texas A&M Department of Statistics in 2008, will be presented with her award July 30 at the ENVR mixer and business meeting as part of the Joint Statistical Meetings 2018, set for July 28 through August 2 in Vancouver. She is the third Texas A&M statistician in the past four years to be recognized with the prestigious honor, joining Matthias Katzfuss (2017) and Mikyoung Jun (2015) as previous recipients.
Sang earned her Ph.D. in statistics from Duke University in 2008 after receiving her bachelor of science in mathematics and applied mathematics from Peking University in 2004. At Texas A&M, she leads an innovative and comprehensive research program that focuses on the development of spatial models and their applications to environmental sciences. She has made seminal contributions in the area of modeling extreme values of spatial processes and in approximating covariance functions for high-dimensional data sets. More specifically, she is widely recognized nationally and across the world for her research in statistical methodology for correlated and high-dimensional environmental data — including the development of theory, methodology and computation for large spatial and spatio-temporal processes — spatial extreme values and Bayesian hierarchical models for spatial data analyses.
“Dr. Sang’s contributions to the theory and practice of spatial and environmental statistics are extraordinary,” said Dr. Jianhua Huang, professor and acting head of Texas A&M Statistics and holder of the Arseven/Mitchell Chair in Astronomical Statistics. “Her work on covariance approximation and on spatial modeling of extreme values has far-reaching implications for analyses involving large-scale, geo-referenced data. The novel methodologies she has developed have broad applications, including massive satellite data analyses, global climate studies, environmental sciences, hydrology, medical image processing, engineering and public health. Such broad applications have also been demonstrated by the interdisciplinary work that Dr. Sang has done with her collaborators in various fields.”
A member of ASA, the International Statistical Institute (ISI) and the International Society for Bayesian Analysis (ISBA), Sang’s previous awards include an ISBA Young Researcher Award from Google in 2012 and an NSF Isaac Newton Institute Workshop Travel Award in 2008.
To learn more about Sang and her teaching, research and professional service, go to https://www.stat.tamu.edu/~huiyan/.
For additional information about the American Statistical Association or the Section on Statistics and the Environment (ENVR), go to http://www.amstat.org/.
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Contact: Shana K. Hutchins, (979) 862-1237 or firstname.lastname@example.org or Dr. Huiyan Sang, (979) 845-3156 or email@example.com