My name is David Kane, and I am a data scientist and a teacher of statistics/data science/analytics — whatever your preferred term for using data to make decisions. I am the former Preceptor in Statistical Methods and Mathematics in the Department of Government at Harvard University. I served as an officer in the United States Marine Corps from 1988 to 1991. Prior to returning to academia in 2018, I worked in quantitative finance for two decades, mostly as an equity portfolio manager at firms including Numeric, Geode, Millenium, Point72 (formerly SAC), Acadian and Hutchin Hill. In 2016 I was a Professor of the Practice at Middlebury College. I am the author of *Preceptor’s Primer for Bayesian Data Science* and its associated tutorials. I often teach a free four week data science course, mostly for high school students. You can contact me at dave.kane@gmail.edu.

Only got time to read one thing about me? Start with this discussion about my teaching philosophy.

You might be interested in my CV, some highlights from my teaching evaluations or my Github account.

My three favorite articles are:

- “Kill The Math and Let the Introductory Course Be Born” (pdf)
- “Creating Community in a Data Science Classroom” (pdf)
- “Instructions for Writing R Tutorials,” a guide for creating good tutorials with help from the tutorial.helpers R package.