Teaching
Courses, short courses, and workshops — mostly about doing real work in R.
2025 Excellence in Teaching Award, Johns Hopkins.
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Advanced Data Science I and II JHSPH · Co-instructor
Applied statistics, data analysis and computing, from machine learning and resampling to high-performance computing and databases.
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Introduction to R for Public Health Researchers JHSPH Winter & Summer Institutes · Co-instructor
One-week intensive course co-developed with Andrew Jaffe.
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R Package Development ENAR · Instructor
Tutorial on building, testing and releasing R packages.
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R Software Development Workshop Statistical Methods in Imaging (SMI) · Instructor
Two-hour workshop for 40 statisticians, with Amanda Mejia.
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Neuroimaging Analysis within R ENAR · Instructor
Four-hour short course for statisticians.
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Neuroimaging Analysis within R ISBI · Instructor
Four-hour tutorial for biomedical engineers.
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Advanced Data Science JHSPH · Co-instructor
Hands-on introduction to applied statistics and data analysis.
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A Tutorial for Multisequence Clinical Structural Brain MRI ENAR · Instructor
Three-hour tutorial for 35 statisticians.
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Neurohacking with R Coursera · Instructor
MOOC on neuroimage processing and statistical analysis entirely within R.
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Course sites & tutorials
- Introduction to R, course materials
- Faculty Office Hour
- Imaging in R (aka Neurohacking 2.0)
- Neurohacking on Coursera
- Building R Packages (ENAR 2020 short course)
- Neuroconductor tutorials and a worked fMRI task-processing example