He is a co-author of the tidytext R (programming language) package and the O’Reilly book, Text Mining with R. Robinson has previously worked as a chief data scientist at DataCamp and as a data scientist at Stack Overflow.
He has three courses on DataCamp published, which assist people with learning R and data science.
[5] The book was published by O'Reilly in July 2017 and is a guide to drawing insights from text using the tidytext package in R.[6] Another book authored by Robinson is Introduction to Empirical Bayes: Examples from Baseball Statistics, an e-book demonstrating the statistical method of empirical Bayes, based on the example of estimating baseball batting averages.
[8][9][10] Robinson has numerous publications including, "Widespread changes in mRNA stability contribute to quiescence-specific gene expression patterns in a fibroblast model of quiescence",[11] "broom: An R package for converting statistical analysis objects into tidy data frames",[12] "A nested parallel experiment demonstrates differences in intensity-dependence between RNA-seq and microarrays",[13] "subSeq: Determining appropriate sequencing depth through efficient read subsampling",[14] "Design and Analysis of Bar-seq Experiments",[15] and "OASIS: an automated program for global investigation of bacterial and archaeal insertion sequences".
[16] As mentioned, his book Introduction to Empirical Bayes helps readers understand Bayesian methods for estimating binomial proportions, through a series of examples drawn from baseball statistics.