I take teaching seriously both inside and outside of the classroom. I have taught three different degree courses at the CUNY School of Public Health:

PH751 – Principles of Biostatistics. This is the first biostatistics course in our Epidemiology and Biostatistics program, required for all Epi and Bios students. I typically stream these lectures live on YouTube, while doing the classroom lecture.  Here is my Fall 2015 channel, feel free to tune to see what the class is like, or if you just want to learn some basic stats.

PH750 – Introduction to Biostatistics. This is our required biostatistics course for all other MPH students outside of the Epidemiology and Biostatistics program. Besides lectures, I and lab instructors Tony DeVito and Jon Rendina have put a lot of other materials from this course on YouTube: long-format tutorials, a few mini-tutorials, and lab sessions.

BIOS751 – Applied Biostatistics II. This is a required course on regression (GLMs, survival analysis, and hierarchical models) for all our MPH and DPH students in Epidemiology and Biostatistics.

In my spare time, I’ve offered a couple one-day R Bootcamp courses, with the help of Marcel Ramos (MPH, Hunter College) and Timothy Tickle (PhD, Senior Developer, Broad Institute). Here are all  materials from our fall 2015 R bootcamp.

Additionally, students and I organized the Statistical Learning Book Club that meets weekly to study interesting textbooks.

As part of my 2015-16 Fulbright scholarship to Italy, I am offering a course Applied Statistics for High-throughput Biology to PhD students at the Center for Integrative Biology, University of Trento, IT. I am putting all materials for this course on its Github page, including my first README.md course syllabus, written of course in Markdown.

Finally, my research associate Marcel Ramos (mostly) and I (a little) have identified what we think are the best of the best resources for learning R, Github, and other wonderful things at http://waldronlab.github.io/.