Grantham, NS, Reich, BJ, Laber, EB, Pacifici, K, Dunn, RR, Fierer, N, Gebert, M, Allwood, JS, Faith, SA. Forensic Geolocation with Deep Neural Networks. In review.
Grantham, NS, Reich, BJ, Liu, Y, Chang, HH (2018). Spatial Regression with an Informatively-Missing Covariate: Application to Mapping Fine Particulate Matter. Environmetrics. Code available at github.com/nsgrantham/spatial-covariate-informative-missingness.
Grantham, NS, Reich, BJ, Borer, ET, Gross, K. MIMIX: a Bayesian Mixed-Effects Model for Microbiome Data from Designed Experiments. In review. Code available at github.com/nsgrantham/mimix.
Grantham, NS, Reich, BJ, Pacifici, K, Laber, EB, Menninger, HL, Henley, JB, Barberan, A, Leff, JW, Fierer, N, Dunn, RR (2015). Fungi Identify the Geographic Origin of Dust Samples. PLOS ONE. Code available at github.com/nsgrantham/fungi-identify.
Grantham, NS (2017). Statistical Methods for High-Dimensional, Spatially-Distributed Microbiome Data from Next-Generation Sequencing. NC State Ph.D. Dissertation.
Grantham, NS (2014). Clustering Binary Data with Bernoulli Mixture Models. NC State Statistics, Written Preliminary Exam.
Grantham, NS (2012). Analyzing Multiple Independent Spatial Point Processes. Cal Poly Senior Project.
In the Media
Can Specks of Dust Help Solve Crimes? TIME.
Researchers Can Trace Dust Samples Using Fungal DNA NC State News.