Bollinger Fellow in Data Science

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Bollinger Fellow in Data Science
Karin Gilje

The Bollinger Fellow in Data Science uses various forms of library-related transactional data, metadata, and quantifiable information to develop, test and implement research hypotheses, predictive models, and field studies useful to decision systems, strategic planning, service design, resource allocation and actionable business intelligence.

This work takes many forms, including designing and analyzing library datasets; leading research and development projects related to library data analysis, metrics, and privacy protection; and teaching and consulting within the Libraries on best practices in data governance and use in research and the design of automated assessment tools. The Bollinger Fellow also liaises with University Privacy Officers to share and implement best practices around patron-related data.

Karin Gilje is the 2020 Bollinger Fellow at the Penn Libraries.

Before coming to Penn, Karin worked at the Illinois Institute of Technology in Chicago on the PROSPECT Experiment, a reactor neutrino experiment, and at the University of Alberta in Edmonton, Canada on the SNO and SNO+ experiments, searching for solar neutrinos.

She graduated from St. Olaf College in 2008 with a double major in Physics and Mathematics (almost a triple major with Ancient Studies). Then, she continued her education with a PhD in High Energy Physics at Stony Brook University, received for work on the T2K experiment in Tokai-Mura, Japan. At Stony Brook, she received the John Marburger III Fellowship for Science, Engineering & Mathematics. In addition, the T2K collaboration received the Breakthrough Prize in Fundamental Physics for their work in neutrino oscillation physics.

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