Jesse J Kalinowski

Jesse is an applied microeconomist and data scientist. His current research focuses on using complex data products and a mix of statistical and computational tools, from traditional econometrics to text mining and natural language processing, to identify and measure racial disparities in policing. This interdisciplinary scholarship sits at the intersection of economics, criminology, data science, and policy. Both Jesse's research and policy work has been covered by national and local media outlets including the Wall Street Journal, New York Times, National Geographic, Hartford Courant, WNPR, and CT Mirror. In addition, he builds data science tools for policy makers and practitioners to better measure and understand police and civilian interactions.

At QU, Jesse's teaching mostly revolves around statistics and modern data science methods. He teaches classes in microeconomics, statistics, econometrics, data mining and machine learning. Jesse also has a passion for cutting edge data science technologies and workflows, making sure to incorporate them into nearly all his instruction.