This ongoing collaboration with University of Virginia, the National Center for Science and Engineering Statistics and the Bureau of Economic Analysis, we use web scraping, computational text analysis and network analysis to measure the scope and impact of open-source software development.
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 this collaborative project with Kristen Springer (Rutgers) and Mary Himmelstein (Kent State), we studied how masculinity threats affect cardiovascular stress responses, which may accumulate over the life course to contribute to men's relatively worse cardiometabolic health.
In this collaboration with Cathie Woteki (UVA/Iowa State), Vicki Lancaster (UVA) and Sam Cohen, we analyze the implications of the 1969 White House Conference on Food, Nutrition and Health.
This ongoing collaboration with Matthew Weber and Itzhak Yanovitzky (Rutgers) uses discourse analysis and network analysis to follow how policymakers exchange evidence in congressional hearings.
In my dissertation, I examined how biomedical researchers produce racialized claims about testosterone, prostate cancer, and health disparities in biomedical research.