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Huiyan Sang Earns Early Investigator Award in Statistics in 2018

Huiyan Sang, Ph.D., associate professor of statistics in the Department of Statistics 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 endeavor in which outstanding contributions often transcend the boundaries of traditional fields. Sang was presented with her award July 30 as part of the Joint Statistical Meetings 2018 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. 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.
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.  Sang Earns Early Investigator Award