Neal Grantham has won the 2017 ENAR Distinguished Paper Award and 2017 ASA-ENVR Awards.
Neal’s paper entitiled “A Hierarchical Bayesian Mixed-Effects Model for High-Dimensional Microbiome Data Analysis” proposes a new statistical method for testing for treatment effects on microbial communities for designed experiments. This work is in collaboration with Brian Reich and Kevin Gross, and will be presented at ENAR 2017 in Washington, DC and JSM 2017 in Baltimore, MD.