I’m an assistant teaching professor of Statistics & Data Science at Carnegie Mellon University. I work on statistical models to understand and predict where events occur, while also helping lead the Teaching Statistics Group study how students learn statistics and how we can teach better.
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 firstname.lastname@example.org or find me in my office, Baker 232K.
I keep extensive online notebooks on random topics of interest to me. Some recent updates:
Statistical misconceptions – August 10, 2021
Philosophy of science – August 10, 2021
Online advertising – October 31, 2020
Predictive policing – October 25, 2020
Algorithmic fairness – October 25, 2020
Surveillance capitalism – October 24, 2020
Privacy and surveillance – October 20, 2020
Textbooks – June 3, 2020
Cognitive task analysis – April 30, 2020
Statistical programming languages – February 11, 2020
…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.