Former Program Coordinator, 2017 Data Science for Social Good Program
Ph.D., Sociology, University of Washington, 2017
M.A., Sociology, University of North Carolina at Chapel Hill, 2012
B.A., Sociology, Princeton University, 2009
Kivan Polimis is the former program coordinator for the eScience Institute’s Data Science for Social Good, and he was also a participant in the inaugural 2015 cohort. His research focuses on health development and applying statistical techniques to investigate health disparities.
As a computational social scientist, he is interested in structural inequality, machine learning, and developing programming solutions to infrastructure problems in health care, transportation, and the legal system.