My research explores how to enable meaningful participation in sociotechnical design. I use established qualitative methods (e.g., interviews, participant observation) and develop new methods as needed (e.g., sociotechnical visuals, storytelling).

Funded by organizations such as the Social Science Research Council and the Center for Effective Global Action, I have engaged tech workers, homeless outreach workers, and people living in rural Togo, Malawi, Rwanda, South Africa, and America on topics ranging from responsible AI (CSCW '25), data privacy in humanitarian aid (CSCW '25), rural internet access (TOCHI '21), and AI explainability (Blog).

I hold a PhD from the UC Berkeley School of Information, and a B.A. from New York University in Sociology (summa cum laude). At UC Berkeley, I was co-advised by Dr. Jenna Burrell and Dr. Joshua Blumenstock, and was an AI Policy Fellow affiliated with the Algorithmic Fairness and Opacity Group and the Global Opportunities Lab. At NYU, I was advised by Dr. Deirdre Royster and Dr. Ruth Horowitz where my undergraduate sociology thesis explored racial inequalities in the US criminal legal system.

Beyond academia, I worked at an acquired tech startup, civil rights law firm, and spent four summers interning at Microsoft where I helped develop a responsible AI maturity model, tooling to support AI red teaming, and worked on Microsoft Copilot.