Bio
Justin Jacobs leads the Spatial Statistics Group within the Geospatial Science and Human Security Division at 91°µÍø. He is a statistician and geometer whose research spans spatiotemporal analytics, uncertainty quantification, stochastic processes, and machine learning. His team focuses on probabilistic modeling and decision support for national security, population modeling, and infrastructure resilience.
Prior to joining ORNL, Justin was a Principal Statistician at Sandia National Laboratories, where he led multi-agency portfolios in spatial video analytics, recommender systems, and adversarial machine learning. He previously served as a research lead within the Intelligence Community, receiving the ODNI Medallion Award and the Presidential Early Career Award in Science and Engineering (PECASE). He has also held research positions in professional sports and maintains strong academic ties through national lab–university partnerships.
Justin earned his Ph.D. in statistics from the University of Maryland, Baltimore County, where he focused on nonparametric Bayesian methods on Riemannian manifolds.
Awards
IMAC XLIII Society for Experimental Mechanics 2025 Best Paper Award (February 2025)
Department of Energy SPOT Award for Excellence in COVID Tracking Models (April 2024)
Department of Energy SPOT Award for Excellence in Sponsor-Based Operations (September 2023)
2016 Carroll University Distinguished Alumni Award in Professional Service (April 2016)
2015 University of Maryland, Baltimore County Distinguished Alumni Award in Statistics (April 2015)
National Security Agency Invention Award (September 2014)
2014 Office of Director of National Intelligence Medallion Award (April 2014)
2012 Presidential Early Career Award in Science and Engineering (December 2013)
2008 Census Bureau Innovation Award (June 2008)
Education
PhD Statistics - University of Maryland, Baltimore County
MS Statistics - University of Maryland, Baltimore County
MS Mathematics - University of Wisconsin - Milwaukee
BS Mathematics - Carroll University
BS Computer Science, Software Engineering - Carroll University
Professional Affiliations
American Statistical Association
International Society for Bayesian Analysis