Jack O'Brien
Applied statistics · Bowdoin College
Dutch municipalities in 1971: (left) map of voting blocs, (right) electoral positions of voting blocs.
Map of the voting bloc structure of six US cities using referendum data (2012-2024).
I am an applied statistician, a data scientist, and an associate professor of mathematics at Bowdoin College. My research is on how mixture models and similar approaches can be used to analyze social science data like pottery sherds, election results, and tweets to create interpretable formulations of complex social phenomena. I also study housing and rent dynamics, both statistically and as a way to advance a just society.