teaching

current courses

None.

past courses

Based on my teaching in the 2018-2019 academic year I received a Statistics Department Outstanding TA award.

Graduate Teaching Assistant
Spring 2019, STAT 324 Intro to Statistics for Engineers, UW-Madison
student eval comments, student eval ratings

Applied Machine Learning Workshop
January 15-16, 2019, rstudio::conf(2019)
(co-taught with Max Kuhn and Davis Vaughn)
materials

Graduate Teaching Assistant
Fall 2018, STAT 324 Intro to Statistics for Engineers, UW-Madison
student eval comments, student eval ratings

Undergraduate Teaching Assistant
Spring 2018, COMP 540 Statistical Machine Learning, Rice University

Undergraduate Teaching Assistant
Fall 2017, COMP 330 Data Science: Tools & Models, Rice University

I enjoy teaching a fair amount but have not taught since my first year of graduate school due to funding that has allowed me to focus on research.

Outside of academic settings, I used to devote a fair amount of time to teaching R workshops for the Rice DataSci club, and to helping people make their first open source contributions, primarily to the broom package.

teaching material

If you are teaching an introductory statistics class in the classic “barrage of hypothesis tests” tradition, you may find my cheatsheet on common hypothesis tests useful. I also wrote distributions3 to be an approachable set of tools for manipulating probability distributions for intro stat students. The package vignettes are designed to walk students intro stat courses though many classic hypothesis tests as well.

mentoring

  • Nathan Kolbow worked with me as a undergraduate RA to develop the neocache data collection infrastructure. He is now a PhD student in Biostatistics at UW-Madison.

Last updated 2022-04-28.