R25 AI140495
Drs. Cliburn Chan and Gina-Maria Pomann are the PIs of a five-year NIAID research education grant in its second funding cycle to provide training in quantitative methods for HIV/AIDS research. With recent technological advances, HIV/AIDS research is generating increasingly large and complex data sets. Given the data complexity, major HIV/AIDS research projects must adopt a multi-disciplinary team science approach. While HIV/AIDS researchers must understand the data science and statistical analysis challenges associated with data intensive research; statistical, computational and mathematical researchers also need to understand the challenges specific to HIV/AIDS research.
The training program directly addresses these needs by providing:
- A series of workshops for HIV/AIDS researchers in Data Science, Statistical Thinking, and Multi-parameter Assay Analysis.
- A summer internship program that funds graduate students in quantitative disciplines to work with leading researchers at Duke on challenging problems in HIV/AIDS.
- A mentored scholar program in which early-stage investigators receive guidance to develop quantitative research from a mentor with appropriate expertise.
Combined, the workshops, internships, and mentorship programs will build a cadre of HIV/AIDS and quantitative scientists able to effectively bridge disciplinary communication barriers, and form effective and productive collaborative partnerships.
Faculty and staff leading this research education program are Cliburn Chan, Gina-Maria Pomann, Josh Granek, Janice McCarthy, Lynn Lin, Pixu Shi, Tyler Schappe, Kelly Sune, Richard Barfield, and Lauren Howard. Please contact Kelly Sune for more information about opportunities to participate.
Please acknowledge the Quantitative Methods in HIV/AIDS Training Grant (R25 AI140495) in your publications, abstracts, grant proposals, and presentations.
