About the Reviewers

Dean Attali is a software engineer, technical consultant, and freelance technical writer. He studied computer science at the University of Waterloo, Canada, and has years of experience working for large companies (Google and IBM) as well as small startups (tagged.com, wish.com, and, glittr.com). After spending a few years in San Francisco and getting a good taste of the Silicon Valley tech life, Dean was curious to see what academia had to offer and went on to pursue a master's degree from the University of British Columbia in Vancouver, Canada.

Dean was introduced to R while he was in graduate school, and he quickly developed a passion for R and open source, with a special interest in the Shiny framework. He is now an active member of the R community and is the author of several R packages, most notably "shinyjs".

Apart from coding, Dean is also addicted to playing soccer, travelling at any given (and nongiven) moment, getting into philosophical debates, and meeting new people. You can learn more, or just say "hello", by visiting him at http://deanattali.com.

William Kyle Hamilton earned his bachelor of arts degree in psychology with a minor in political science from the University of California, Merced in 2012 and is now a PhD student in the Health Psychology program at the University of California, Merced. In addition to this, William runs workshops for academic requesters who wish to use Amazon Mechanical Turk for their studies. William is a community member of the rOpenSci group and has authored the R packages: IRTShiny, MAVIS, RCryptsy, and RStars. Additionally, William serves as a board member for the UC Merced Alumni Association, as well for the Merced County Advisory Board on Alcohol and Drug Problems.

Achyutuni Sri Krishna Rao is an R programmer, data scientist, and civil engineer with more than 4 years of work experience in the public sector and corporate companies. Currently, he is a data scientist associate consultant in one of the leading pharmaceutical consultant firms. He loves to work in the domain of healthcare, power, and construction industry. He strongly believes in the application of Big Data-driven solutions in sectors heavily dominated by core engineering principles.

With a master's in Enterprise Business Analytics from NUS, Achyutuni is a freelancer and R code blogger too. He blogs about providing holistic analytical solutions on open source data using a multitude of machine learning algorithms in R. He is also a corporate trainer in R programming.