teaching
current
I am not teaching in Fall 2023.
teaching material
If you are teaching an introductory statistics class in the “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.
past courses
Graduate Teaching Assistant
Fall 2022, STAT 340 Intro to Data Modeling II, student evals
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
Based on my teaching in the 2018-2019 academic year I received a Statistics Department Outstanding TA award. 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.
mentoring
- Nathan Kolbow worked with me as a undergraduate RA to develop the
neocachedata collection infrastructure. He is now a PhD student in Biostatistics at UW-Madison.
guest lectures
Confidence intervals
October 25 & 27, 2022, STAT 340 Data Modeling II, UW-Madison
Sampling with Twitter following graph with aPPR
October 8, 2020, STAT 992 Modern Multivariate Statistics, UW-Madison
slides
Hypothesis testing
October 18, 2018, STAT 324 Intro to Statistics for Engineers, UW-Madison
notes
Last updated 2023-10-20.