My current research interests center around data technologies and the data flows that make them function. I'm interested in understand how societies are channeling data as a new economic resource, and how technology governance alters data flows. My work fits under the umbrella of a research agenda that I refer to as "comparative data ecologies." An ecological approach considers the way that data flows through societies, structuring relationships and mediating interactions. What emerges is a shifting landscape of data flows, revealing complex dynamic patterns that reflect institutional dynamics and power distributions. My dissertation project demonstrates how the US, the EU and China are developing their own unique data ecosystems, which also shape the future of AI governance. 

I see myself as an interdisciplinary political economist, and draw my inspiration from comparative political economy, science and technology studies (STS), surveillance studies and sociology. My work has been published in Economy and Society, Big Data and Society, and Surveillance and Society. The main conferences that I attend are those of the Society for Social Studies of Science (4S), and the International Studies Association (ISA).