Teaching

2020-2021 academic year:

  • Math 240: Probability (two sections this fall)
  • I’m on sabbatical during the winter and spring

Past courses:

  • Stat 120: Introduction to statistics
  • Stat 220: Introduction to data science
  • Stat 230: Applied regression
  • Stat 250: Introduction to statistical inference
  • Stat 285: Statistical consulting
  • Stat 340: Bayesian statistics

Recent Publications

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Recent Talks

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Projects

Visual Inferece for the Classroom

Materials to help statistics educators incorporate visual inference protocols into their classrooms.

Data Science for Statistics

Tutorials and case studies teaching data-scientific concepts in statistics courses.

lmeresampler: Bootstrapping Clustered Data in R

Providing an easy way to bootstrap nested linear-mixed effects models using either the parametric, residual, cases, CGR (semi-parametric), or random effects block (REB) bootstrap fit using either lme4 or nlme.

qqplotr: ggplot2 Compatible Quantile-Quantile plots in R

Extending ggplot2 to provide a complete implementation of Q-Q plots.

Recent Posts

In June I attended an ACM workshop focused on how the ACM can facilitate sharing elements of a data science curriculum across institutions. This is my recap.

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The analyses that get me excited are not Google crunching a terabyte of web ad data in order to optimize revenue… [but rather] the biologists who are absolutely passionate about this one swampfly and now they can use R and they can understand it.

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The Upshot takes a look at who’s in and who’s out of the first Republican debate taking into account sampling variability.

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