Kevin DeLuca

About

Kevin DeLuca is an Assistant Professor at Yale University in the United States. His research focuses on machine learning, Bayesian inference, and redistricting, with recent articles examining techniques for evaluating race inference and addressing partisan gerrymandering. He has published work on the implications of election results at the precinct level, contributing to the understanding of electoral processes and geographic data analysis.