Hi! I'm Hadley Wickham, Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. I build tools (computational and cognitive) that make data science easier, faster, and more fun. I’m from New Zealand but I currently live in Houston, TX with my partner and dog.


If you’d like to learn more about what I do, and how to use R effectively, I’d recommend starting with one of my books:

  • R for Data Science, with Garrett Grolemund, introduces the key tools for doing data science with R.

  • ggplot2: elegant graphics for data analysis shows you how to use ggplot2 to create graphics that help you understand your data.

  • Advanced R helps you master R as a programming language, teaching you what makes R tick.

  • R packages teaches good software engineering practices for R, using packages for bundling, documenting, and testing your code.

I also teach in person workshops from time-to-time; see the RStudio workshops page for more details.


Most of my work is in the form of open source R code, which you can find on my github. You can roughly divide my work into three categories: tools for data science, tools for data import, and software engineering tools.

Data science with the tidyverse

Data import

  • readr for reading .csv and fwf files.
  • readxl for reading .xls and .xlsx files.
  • haven for SAS, SPSS, and Stata files.
  • httr for talking to web APIs.
  • rvest for scraping websites.
  • xml2 for importing XML files.

Software engineering


Outside of work, I love to bake and make cocktails. You might enjoy trying some of the recipes from my family recipes website.

My sister Charlotte is a Assistant Professor of Statistics at Oregon State University.