My book project, Computing Taste: The Making of Algorithmic Music Recommendation, draws on several years of ethnographic fieldwork with developers of music recommenders in the United States. 

I'm currently thinking about why we measure attention in units of time, how traps can help us understand the internet, the relationship between care and scale, kinship metaphors for academic disciplines, and why computer programmers love rock climbing so much.

I'm an assistant professor in the Department of Anthropology at Tufts University, where I also teach in the Science, Technology, and Society program. Until recently, I was co-chair of the American Anthropological Association’s Committee for the Anthropology of Science, Technology, and Computing. Before that, I got my undergraduate degree in Literature at Yale University, a Masters of Science in Comparative Media Studies from MIT, and my PhD in Anthropology from UC Irvine.