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.
Max was a nonclinical statistician for 12 years in the pharmaceutical industry and for 6 years in the medical diagnostic industry. His degrees are in Biostatistics (Ph.D.) and Mathematics (B.S.). He has released several R packages for predictive modeling and machine learning, including
Cubist. He is the author of the Springer book Applied Predictive Modeling (with Kjell Johnson), which won the American Statistical Association’s Ziegel Award for best book in 2014.
Mine is Professional Educator at RStudio and Professor at University of Edinburgh. Her work focuses on innovation in statistics pedagogy, with an emphasis on computation, reproducible research, open-source education, and student-centered learning. She is the author of three open-source introductory statistics textbooks as part of the OpenIntro project and teaches the popular Statistics with R MOOC on Coursera.
Nick Tierney is a Research Fellow in statistics at Monash University working with Rob Hyndman and Di Cook, as well as co-host of the insightful Credibly Curious podcast. Nick earned his PhD from Queensland University of Technology in 2018. His research aims to improve an overall data analysis workflow, especially towards understand a data set effectively with his visdat package in addition to exploring and modeling missing data with his naniar package. When he is not working with R, Nick enjoys rock climbing and photography.
My background is in programming, data analysis, and data visualization. Much of my current work involves a combination of data acquisition, statistical programming, tools development, and visualizing the results. I love creating software that helps people accomplish things. I regularly update several R package projects (all available on GitHub). One such package is called DiagrammeR and it’s great for creating network graphs and performing analyses on the graphs. One of the big draws for open-source development is the collaboration that comes with the process. I encourage anyone interested to ask questions, make recommendations, or even help out if so inclined!
Romain Francois is a consulting datactive at ThinkR. He has been involved with the R community for several years. Romain is one of the original authors of the Rcpp package, as well as a key contribotor to the
dplyr packages. In this spare time Romain likes to perform stand-up comedy.
Saranjeet is a Statistician based in India. She has written the first draft of the R Development Guide under the mentorship of Heather Turner and Micheal Lawrence, funded by the R Foundation. Furthermore, she is supporting Heather Turner in the work on the outreach of the R Development Guide at the Digital Infrastructure Incubator at Code for Science & Society. Saranjeet has also worked with the Julia Language organization for Google Summer of Code 2020. She is eager to learn about open source and open science practices. Saranjeet co-founded the Research Software Engineering (RSE) Asia Association during her participation in the Cohort 4 of the Open Life Science program, to promote the RSE community and profession in the Asia region. She is being mentored by Michelle Barker to build the RSE Asia community. Recently she has been selected in the founding committee of NumFOCUS Project Incubator. This Incubator is designed to support the growth of open source scientific projects and communities.
Tareef Kawaf is a software executive with over twenty five years of experience in building product teams at early stage startups. He has led the development of products in the e-commerce, online video, and open source statistical analysis spaces. At RStudio he has helped create an organization that uses the open core model to build a sustainable business that contributes more than 50% of its engineering to free and open source software. Tareef is passionate about RStudio’s vision of the positive impact that free and open source software can have on transforming decision making around the world and the opportunities it can unlock for communities that didn’t have access to these tools in the past.
Thomas Lin Pedersen is a data scientist working for the Danish tax authority in Denmark. He has made numerous contributions to packages in the R community. Thomas has created a suite of packages dedicated to network visualizations/manipulation including ggraph, tidygraph. He also works on packages such as fiery that enable R to become a lightweight web server.