I’m an assistant teaching professor of Statistics & Data Science at Carnegie Mellon University. I help lead the Teaching Statistics Group studying how students learn statistics and how we can teach better, and conduct research on the COVID-19 response, including the largest public health survey ever conducted.
You should read my book Statistics Done Wrong, the woefully complete guide to the many ways that statistics is abused in science. Now available in print, published by No Starch Press!
You might be interested in
You can contact me at email@example.com or find me in my office, Baker 232K.
I keep extensive online notebooks on random topics of interest to me. Some recent updates:
Writing – October 4, 2023
Rhetorical structure of writing – October 4, 2023
Pedagogy – October 3, 2023
Writing in statistics – September 13, 2023
Privacy and surveillance – August 8, 2023
Algorithmic fairness – April 16, 2023
Causality – December 2, 2022
Regression – September 2, 2022
Dimensional analysis in statistics – August 4, 2022
Survey sampling – June 14, 2022
…and a bunch more.
Recent posts from the refsmmat report:
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- ScienceForums.net, one of the world’s largest online discussion forums focused on science and science news.
- The Regressomatic, an interactive demonstration of linear regression diagnostics.
- madman, a Python-based Mad Libs generator that uses Markov chains to generate rather alarming texts. Provide a perfectly sensible text file and madman makes it less sensible.
- seuss, a Python-based poetry generator that uses Markov chains to create humorous and surprising poems.