Slides and materials for talks, workshops, and invited presentations.
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DSC - Reflections on a decade of teaching statistical computing [repo | slides]
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UseR! - Parsing Quarto and R Markdown documents in R [repo | slides]
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posit::conf - Shiny for R (Workshop) [repo]
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Duke DSS - Computing Bootcamp (Workshop) [repo]
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JSM - Programmatic Manipulation of Quarto Documents for Teaching [repo | slides]
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posit::conf - Shiny for R (Workshop) [repo]
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Duke DSS - Computing Bootcamp (Workshop) [repo]
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Preparing to Teach - Teaching-focused careers [repo | slides]
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posit::conf - Shiny for R: Intro and Dashboards (Workshop) [intro | dashboards]
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Duke DSS - Computing Bootcamp (Workshop) [repo]
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ISBA - An overview of Bayesian computational frameworks for teaching [repo | slides]
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TWR - Teaching Statistical Computing with Git and GitHub [repo | slides]
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rstudio::conf - Getting Started with Shiny (Workshop) [repo]
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Duke DSS - Computing Bootcamp (Workshop) [repo]
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rstudio::conf - parsermd: a brief look at the parsermd package [repo | slides]
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ISI WSC - Teaching Data Science (Workshop) [repo]
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Duke DSS - Computing Bootcamp (Workshop) [repo]
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rstudio::conf - livecode: broadcast your code from R [repo | slides]
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UseR! - livecode: broadcast your code from R [repo]
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JSM - Computation infrastructure for teaching Bayesian modeling [repo | slides]
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TLMSCO - Teaching computing using git and GitHub [repo | slides]
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ECME - Using git and GitHub in the Classroom [repo | slides]
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Edinburgh - Teaching Statistics and Data Science Online (Workshop) [repo]
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JSM - ghclass: tools for managing classes on GitHub [repo | slides]
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JSM - Reproducible Computing (Workshop) [repo]
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SDSS - Using Rocker containers and CI for teaching R-based courses [repo | slides]
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Edinburgh - Computation is fundamental to (modern) statistics [repo]
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rstudio::conf - Kaggle in the Classroom: using R and GitHub to run predictive modeling competitions [repo | slides]
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ICOTS - Introducing modern computation into a data science / statistics curriculum (Workshop) [repo | github]
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Duke DVS - Tidying Hierarchical Data from the Web [repo | slides]
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Edinburgh - Computational infrastructure for a modern statistical curriculum [repo | slides]
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ISBA - Reproducible Computing (Workshop) [repo]
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Duke DSS - Computing Bootcamp (Workshop) [repo]
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JSM - Moving Away from Ad Hoc Statistical Computing Education [repo | slides]
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UseR! - Data Carpentry: Open and Reproducible Research with R (Workshop) [site | repo]
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Duke DSS - Computing Bootcamp (Workshop) [repo]
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JSM - Statistical Computing as an Introduction to Data Science [repo | slides]
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UseR! - Continuous Integration and Teaching Statistical Computing with R [repo | slides]
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Proseminar - Building an Online Presence and Network [repo | slides]
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JSM - Teaching statistical computing leveraging the GitHub ecosystem [repo | slides]
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UseR! - Teaching R using the GitHub ecosystem [repo | slides]
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Duke SSRI DABSS - Geospatial data and the R ecosystem [repo | slides]
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Duke Focus - A brief introduction to Gaussian processes [repo | slides]
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Duke StatSci - GPUs and the computational efficiency of Gaussian process based models [repo | slides]
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JSM - A Data Fusion Approach for Space-Time Analysis of Speciated PM2.5 [repo | slides]
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Duke StatSci - Using GPUs to improve the computational efficiency of Gaussian process models [repo | slides]
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JSM - GPUs, linear algebra, and efficient computing for Gaussian process models [repo | slides]
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UseR! - Leveraging GPU libraries for efficient computation of Gaussian process models in R [repo | slides]