Joshua Brinks has 15 years of experience as an applied statistician, instructor, and field researcher at a variety of corporate, academic, NGO, federal, and state research institutions. Mr. Brinks' research interests lie within the intersections of environmental science, ecology, political conflict, sociology, and human geography. He is a strong proponent of open-science, FAIR Data, and replicable and reproducible research using R package development; he also is an expert in custom typesetting and research presentation using custom LaTeX, rmarkdown, and pkgdown template. Mr. Brinks possesses expertise in a variety of applied statistical techniques, with his most recent projects having employed Bayesian hierarchical modeling, split-population hazard modeling, Bayesian copula imputation, and simple machine learning with randomForests, MARS, etc.