Dylan Fitzpatrick is a Research Director for the University of Chicago Crime Lab. His research focuses on the design and evaluation of data-oriented systems for decision support in public agencies. Many of Dylan’s projects employ methods from machine learning and statistics to identify meaningful and actionable patterns in criminal justice data. Dylan also specializes in evaluating new programs intended to improve police effectiveness and reduce the impacts of violent crime in our communities.

Dylan holds a Ph.D. in Machine Learning and Public Policy and an M.S. in Computer Science from Carnegie Mellon University, as well as a B.A. in Economics from Middlebury College.

Dylan’s Projects
Policing Leadership Academy
CURRENT

Policing Leadership Academy

The Policing Leadership Academy (PLA) is designed to increase safety and fairness in America’s most violent neighborhoods.

Officer Support System (OSS)
CURRENT

Officer Support System (OSS)

The Crime Lab partnered with the Chicago Police Department (CPD) to develop the Officer Support System (OSS), a next-generation, data-driven early intervention system to promote officers’ long-term mental health and wellness.

Council on Criminal Justice (CCJ) Partnership

Council on Criminal Justice (CCJ) Partnership

The Crime Lab partners with the Council on Criminal Justice (CCJ) to convene an independent Task Force on Policing to identify the policies and practices most likely to reduce violent encounters between officers and the public and improve the fairness and effectiveness of American law enforcement.