I am the director of AI on the Ground program at the Data & Society Research Institute (D&S), where I oversee research on the social impacts of algorithmic systems, the governance of AI in practice, and emerging methods for organizing public engagement and accountability. My own work focuses on how people live with and make sense of AI, examining how algorithmic systems and everyday practices shape one another.

My current research investigates the integration of AI tools into scientific practice, with a focus on how these tools transform reasoning, evidence standards, and epistemic accountability in the sciences. I also help guide research ethics at Data & Society and work to sustain equity in collaborative research practices, both within the organization and with its external partners.

More broadly, my research explores the ordinary ethics of how people understand and respond to data-driven technologies. I draw on majority world scholarship, public policy analysis, and ethnographic fieldwork in settings ranging from scientific laboratories and bureaucratic agencies to public services and civic institutions. At Data & Society, I have led and collaborated on projects that map the conceptual vocabulary and stories of living with AI in/from the majority world, frame the role of algorithmic impact assessments in regulating AI, and investigate the keywords that ground current research into the datafied state.