Postdoctoral Researcher
Microsoft Research New England

Hello!

I’m Kathryne (Kate) Metcalf, a Postdoctoral Researcher with the Social Media Collective at Microsoft Research New England. I’m also an incoming Assistant Professor in the UC Berkeley School of Information (starting July 2026). I’m a humanistic social scientist interested in how data infrastructures shape the production of knowledge, particularly in biomedical research. I work between perspectives from Science & Technology Studies (STS) as well as the history and sociology of genetics. My projects examine a diverse array of clinical entities and computational apparatuses, but share a commitment to understanding how data-based systems (re)structure social relations and our knowledge of human biological difference. In doing so, I center data justice—for patients, research participants, and all other data subjects—as a key value of my work.

I received my PhD from the Department of Communication and the Science Studies Program at the University of California San Diego. In a past life I was a science writer at the Carl R. Woese Institute for Genomic Biology at the University of Illinois Urbana-Champaign, and I’m still passionate about science communication. I also hold an MA in American Culture Studies from Bowling Green State University, and a BA in Literary Studies from Beloit College.

Communities

I can usually be found at the annual meeting of the Society for the Social Studies of Science (4S) and the International Society for the History, Philosophy, and Social Studies of Biology (ISHPSSB). If you’re interested in putting our work in conversation there or elsewhere, please reach out!

Similarly, if you’re a prospective PhD student at the iSchool interested in working with me on a topic involving STS, ethnography, historical/archival approaches, data ethics, surveillance, or health technologies, send me an email!

Interests

  • Critical Data Studies

  • Knowledge Infrastructures

  • ML/AI in Health Systems

  • Genetics and Society (ELSI)

  • Privacy and Surveillance Studies

  • Prediction and the Risk Society