Quantitative Methods for HIV Researchers: Workshop Series

HIV/AIDS research is generating increasingly large and complex data sets. To analyze these data sets, we need the next generation of HIV/AIDS researchers to learn skills in data processing and statistical analysis, as well as increase collaboration with quantitative scientists such as statisticians, mathematicians, computer scientists and engineers. The curriculum will train HIV/AIDS researchers in the data science and statistics skills required to analyze multi-parameter data through a series of hands-on workshops

2026 – 2027 Workshop Series: Quantitative Methods for HIV Researchers

Registration is now open for the Part 1: Data Science Workshops.

Click HERE to register!

Registration Closes on FRIDAY, SEPTEMBER 18, 2026

For more information email kelly.sune@duke.edu.

Overview

The Quantitative Methods for HIV/AIDS workshop series is designed to provide HIV researchers with a hands-on introduction to quantitative analyses both through simple and large, complex data sets. These NIH-funded workshops are open to graduate students, postdocs, medical fellows, staff, and faculty working in the HIV/AIDS field. Non-Duke-affiliated applicants are welcome.

Details
Each series includes six virtual workshops held once per week on Mondays from 1:00 to 4:00 PM ET via Zoom. All sessions are recorded, so if you miss a workshop or would like to revisit the material, recordings will be available for later viewing.

• Part 1 workshops will teach reproducible research and R language skills along with an introduction to data analysis and study design. The seminars will be taught using RStudio. (Note: R knowledge is necessary for Part 2- Statistics Workshops and Part 3- Assay Analysis Workshops).
  • There will be a Day 0: Introduction to R seminar for those with no prior experience in R. Participants with R experience may skip this session, but are welcome to attend.
• Part 2 workshops will build on the statistical concepts discussed in Part 1 and the utilization of predictive models using previously published HIV data. Attendees will learn important concepts in statistics and perform statistical analyses using real HIV data. We will introduce hypothesis testing, multiple testing correction, linear and logistic regression, and high dimensional modeling. The final session features a detailed walk-through of a real data example.
• Part 3 workshops will teach bioinformatics skills for analysis of high throughput sequencing datasets.

NOTE: The material presented in Part 1 is a pre-requisite for Part 2 and Part 3. Participants fluent with R, RStudio, and Git may skip the Part 1 Workshops, but must understand that the material covered in Part 1 will not be reviewed in Part 2 and Part 3. Part 1 and 2 seminars will be recorded for attendees unable to attend previously, but interested in Part 3. 

2026 – 2027 Workshops Schedule

Part 1: Data Science Workshops (Mondays, 1 - 4pm ET)

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Part 2: Statistical Workshops (Mondays, 1 - 4pm ET)

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Part 3: Assays Workshops (Mondays, 1 - 4pm EST)

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