This project with Catherine Lee (Rutgers Sociology) uses computational text analysis and word embeddings to study the use of diversity and population terms in ~2.6M biomedical abstracts from 1990-2020
This project uses a mix of qualitative and computational methods to examine how population terms are used in testosterone research and the impact that this has on racial disparities in biomedical and behavioral research.
This is a collaborative project where my team at the UVA Biocomplexity Institute used predictive modeling to examine and hopefully mitigate gentrification risk across Fairfax County, VA.
In my dissertation, I examined how biomedical researchers produce racialized claims about testosterone, prostate cancer, and health disparities in biomedical research.