Simon Mak (and collaborators from the School of Aerospace Engineering at Georgia Tech) received the 2019 Statistics in Physical and Engineering Sciences (SPES) Award from the ASA, for the paper “An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations”. The SPES Award is awarded annually to a distinguished paper for its innovative use of statistics to solve a high-impact problem in the physical and engineering sciences. This paper is published in the Journal of the American Statistical Association in 2018. Further details can be found at https://www.amstat.org/ASA/Your-Career/Awards/Statistics-in-Physical-Engineering-Sciences-Award.aspx.
Statistical Science