Dr. Ian McCulloh

Ian McCulloh is the chief data scientist for Accenture Federal Services. His current work focuses on the application of artificial intelligence to improve democracy and government services. He also maintains adjunct faculty appointments at Johns Hopkins University in the Bloomberg School of Public health and the Whiting School of Engineering. His most recent academic papers have been focused on the neuroscience of persuasion and implementation of artificial intelligence programs. He is the author of “Social Network Analysis with Applications” (Wiley: 2013), “Networks Over Time” (Oxford: forthcoming) and has published 55 peer-reviewed papers. Prior to joining Accenture, McCulloh served as associate professor at the Johns Hopkins University School of Public health, senior lecturer in Hopkins’ Whiting School of Engineering and senior scientist at the University’ Applied Physics Laboratory. His latest research focused on strategic influence in online networks. McCulloh retired as a Lieutenant Colonel from the U.S. Army after 20 years of service with expertise in social network analysis, special operations and improvised explosive device forensics. During his military tenure, he founded the West Point Network Science Center and created the Army’s Advanced Network Analysis and Targeting (ANAT) program. In addition, he led interdisciplinary teams of scientists at Special Operations Command Central (SOCCENT) and Central Command (CENTCOM) to conduct global, data-driven, social science research to inform strategy for countering extremism and assessing military operations. McCulloh holds a Doctorate and Master’s degree from the Carnegie Mellon University School of Computer Sciences, Masters degrees in Industrial Engineering and Applied Statistics from Florida State University, and a Bachelor’s degree in Industrial Engineering from the University of Washington.