Paul Schulz is a senior consulting statistician and data scientist for ISR’s Population Dynamics and Health Program. He specializes in statistical methods and computing, including hypothesis testing, data analysis and modelling, sampling (including weight creation and adjustment), and power calculation), as well as the use of secure computing enclaves (SRCVDI, Likert cluster, and Flux/Great Lakes). Paul writes code in Stata and SAS for general purpose desktop computing, and R and Python for selected applications, such as data visualization and web scraping/automation, among other uses.  He will be hosting an ISR Hackerspace in Fall of 2019 (Tuesdays, 10-11:30, 1450 ISR)