I write a number of tutorials and explainers about concepts in Statistics, Large Language Models, and Cognitive Science, some of which have been published in venues like Psyche or Ars Technica. Links to select writing can be found below.

Statistics

• Mixed models in R.
• Binary classification in R.
• Data wrangling and visualization in R.
• Data visualization in Python.
• Model comparison in R.
• Bias, variance, and the bed of Procrustes.
• P-hacking: a demonstration in R.

Large Language Models and NLP

• Jargon-free introduction to Large Language Models. Ars Technica, 2023.
• So you want to be an LLM-ologist? Blog post.
• Mechanistic interpretability for LLMs, explained. Blog post.
• Tokenization for LLMs, explained. Blog post.

Cognitive Science

• Does GPT-3 have a Theory of Mind? CogSci Blog, 2023.
• As language evolves, who wins out: speakers or listeners? Psyche, 2022.