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University of Michigan School of Information

A headshot of Nathan Kim standing outside in front of a tree and a brick building.

Nathan Kim


Nathan Kim is a first-year PhD student at the School of Information, where he is advised by Matthew Bui and Libby Hemphill. He is interested in race and digital infrastructure, and especially how structures and forces like race can shape society by remaining invisible.

He is currently a member of the Distributed AI Research Institute (DAIR), where he works with Dr. Alex Hanna on projects around AI, policing, and protests. He also cherishes his relationship with the Anti-Eviction Mapping Project, where he has worked as a web developer and a coordinator for the Evictorbook project.

Nathan is a recent graduate of Yale College, where he majored in Ethnicity, Race, & Migration and Statistics & Data Science. He is also grateful for learning opportunities at Yonsei University and the School for Poetic Computation.



Areas of interest

race, infrastructure


B.A. in Ethnicity, Race, & Migration and Statistics & Data Science, Yale University