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Greg Niemeyer is a data artist and Professor of Media Innovation at the University of California, Berkeley. His work focuses on data circulations and how they affect individuals, communities, and environments. Niemeyer co-founded initiatives aimed at critical analysis of new media and human experiences. He has collaborated across disciplines, emphasizing emotional responses to data. Since 2000, Niemeyer has worked on data sonification, notably with Chris Chafe to translate network response rates into interactive installations, including the SFMOMA’s 010101 show. His current projects involve visualizing water resource dynamics. Alongside his research, Niemeyer teaches courses such as Data Arts, Game Design, and Music Video Production. He has received significant grants from institutions such as the MacArthur Foundation, Intel, and the Hewlett Foundation, and is currently honored as a recipient of the Toban Family Faculty Fellowship. His contributions to the field include discussions on generative AI in art and public participatory projects that integrate real-time data into music.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.