Racialization in Testosterone Research

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.
sts race gender networks qualitative

Measuring the Scope and Impact of Open-Source Software

This ongoing collaboration with UVA and the National Center for Science and Engineering Statistics, we use web scraping, computational text analysis and network analysis to measure the scope and impact of open-source software development.
policy research oss networks nlp web harvesting viz

Molecularization at the Intersections

In my dissertation, I examined how biomedical researchers produce racialized claims about testosterone, prostate cancer, and health disparities in biomedical research.
sts networks race health qualitative

Evidence Exchange in Federal Policymaking

This ongoing collaboration with Matthew Weber (Minnesota) and Itzhak Yanovitzky (Rutgers) uses discourse analysis and network analysis to follow how policymakers exchange evidence in congressional hearings.
policy research networks qualitative