Sport Management
300 MacNaughton Hall, #320
Syracuse, New York 13244
315-443-9317
jaehrlic@syr.edu
CV available upon request
Justin Ehrlich
Ph.D.Associate Professor
Dr. Justin Ehrlich is an Associate Professor specializing in sport analytics, machine learning, and computer science. His diverse research portfolio spans virtual reality, 3D human pose estimation, advanced visualization, sports rating and ranking, the business of sport, risk analysis for CTE in football players, and biomechanical assessment. As a faculty member in Syracuse University’s Big Data Cluster, Dr. Ehrlich focuses on big data applications, performance analytics, and advanced visualization tools such as shot charts.
His innovative work has been showcased at the MIT Sloan Sports Analytics Conference and published in journals including the Journal of Behavioral & Experimental Finance, JAMA, Public Choice, and PLOS ONE. Dr. Ehrlich has also conducted extensive golf research in collaboration with the University of Nevada, Las Vegas, exploring topics like the effects of weather on performance, optimizations in swing sequencing, and the impact of swing consistency on course outcomes.
Education
Ph.D. in Computer Science, University of Kansas, 2010
M.S. in Computer Science, Wichita State University, 2007
B.B.A., Friends University, Wichita, KS, 2004
Specialization
Sport data computation, visualization, and analysis
Courses
SAL 385 - Python for Sport Analytics
SAL 413 - R for Sport Analytics
Recent Publications
- B. Kmush, M. Mackowski, J. Ehrlich, B. Walia, A. Owora, S. Sanders, "Repetitive head impacts among National Football League Players associated with increased risk of all-cause mortality." JAMA Network Open. May 2020
- J. Ehrlich, Y. Chang, M. Harmon, and S. Sanders, "The Alliance Formation Puzzle in Contests with Capacity-Constraints: A Test using American Football Reception-Coverage Contest Data." PLOS ONE, February 2020
- J. Ehrlich, B. Kmush, B. Walia, S. Sanders, "Mortality risk factors among National Football League players: An analysis using player career data." F1000Research. 2019.