Guests of The R-Podcast
One of the driving forces behind the popularity of R for data science is the community of users and developers sharing their knowledge and contributing back to the R ecosystem. One of the goals of the R-Podcast is to showcase innovative developments and analyses by bringing members of the R community on the show to discuss their efforts. Below is a list of guests who have appeared on at least one episode of the podcast. If you would like to be on the R-Podcast, please visit the contact page for the various ways of getting in touch with the show.
Alison Hill
Alison is a Data Scientist & Professional Educator at RStudio. She has used R both in the classroom as a professor, and in the lab as a scientist and mentor. She specializes in teaching data science to new and advanced R users, and helping data scientists adopt literate programming tools to document and communicate their work. She is one of the authors of the book blogdown: Making Websites with R Markdown. Previously, she was an Associate Professor and Assistant Director of a computational research center at Oregon Health & Science University. Her work has been funded by the National Institutes of Health, the Oregon Clinical and Translational Research Institute, and Autism Speaks. Alison holds a Ph.D. in psychology and quantitative methods from Vanderbilt University (2008) and an undergraduate degree from Georgia Tech (2002)
Barbara Borges
Barbara is a software engineer at RStudio working primarily in the Shiny package. She holds a double major in Statistics and Computer Science from Macalester College. After four freezing Minnesota winters, she is back in her warm homeland of Portugal (but to the disappointment of many, she’s not a soccer fan).
Benjamin Listyg
Benjamin Listyg is a member of the data team at Wyzant, an online educational/tutoring marketplace based in Chicago, Illinois. His current work revolves around combining network analysis and natural language processing. At the 2019 Chicago R Unconference, Benjamin created an excellent example with the drake R package to simulate a workflow for fixed-choice design in large social networks.
Chase Clark
Chase Clark is a PhD candidate in Med Chem and Pharmacognosy at the University of Illinois at Chicago. He has been using R for three years and does a lot of work with Shiny. Recently Chase gave a talk at the 2018 R/Pharma conference about the IDBac project, a Shiny application aimed to make finding new medicines from bacteria a little less serendipitous.
Dean Attali
Dean is a R/Shiny consultant leading his own consulting company of AttaliTech Ltd. Dean was previously a software engineer at Google and top San Fransisco startup Wish.com. He is the author of several R packages such as shinyjs, timevis, addinslist, and more.
Dirk Eddelbuettel
Dirk is an active member of the R community in many capacities. He is a board member of the R Foundation, author/maintainer of the Rcpp package, maintainer of the finance and high-performance computing task views on CRAN, and is a maintainer for R packages on Debian.
Garrett Grolemund
Garrett is a data scientist and master instructor at RStudio. Garrett excels at teaching, statistics, and teaching statistics. He wrote the popular lubridate package and is the author of Hands On Programming with R and co-author of R for Data Science, from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization.
Garrick Aden-Buie
Hello, my name is Garrick Aden-Buie. I’m an RStudio Education Certified Trainer and a data scientist at the Moffitt Cancer Center where I work in the Collaborative Data Services Core using R, Shiny, and the tools of data science to accelerate research towards the prevention and cure of cancer. Previously, I was a Ph.D. candidate at the University of South Florida in Tampa, FL in the Department of Industrial and Management Sciences Engineering where I helped develop a smart home sensor technology system to enable healthy aging in-place.
I’m a passionate R user and educator. I build web apps using Shiny, tools and packages for R, and dynamic, interactive, reproducible reports using R Markdown. Browse my list of projects for examples of my work, a selection of educational presentations, or review my full curriculum vitae (resume).
Hadley Wickham
Hadley Wickham is Chief Scientist at RStudio and Adjunct Professor of Statistics at Rice University. He is interested in building better tools for data science. His work includes R packages for data analysis (ggplot2, plyr, reshape2); packages that make R less frustrating (lubridate for dates, stringr for strings, httr for accessing web APIs); and that make it easier to do good software development in R (roxygen2, testthat, devtools, lineprof, staticdocs). He is also a writer, educator, and frequent contributor to conferences promoting more accessible and more effective data analysis.