Ph.D., 2018, University of Notre Dame
M.S., 2017, University of Notre Dame
B.A., 2009, Baylor University
Longitudinal Data Analysis, Machine Learning, Integrative Data Analysis, Missing Data Analysis
Research Assistant Professor, Population Health Sciences
Dr. Justin Luningham is a research assistant professor of biostatistics in the Department of Population Health Sciences in the School of Public Health. Dr. Luningham’s primary research interests focus on methodology for combining multiple independent datasets through integrative data analysis, using both latent variables models and imputation of missing data. He is also interested in machine learning applications to research in public health and behavioral sciences. Substantively, Dr. Luningham is interested in understanding complex causes of mental health problems across the lifespan. He has applied his methodological expertise to the study of genetic and environmental predictors of problematic behaviors in children, and he has collaborated with others on longitudinal studies of mental health spanning adolescence into early adulthood.
Dr. Luningham completed his graduate training at the University of Notre Dame, receiving his MS in Applied and Computational Mathematics and Statistics and his PhD in Quantitative Psychology. Prior to joining Georgia State in November 2019, Dr. Luningham was a Postdoctoral Fellow in the Center for Computational and Quantitative Genetics at Emory University School of Medicine. He has also served as an Adjunct Teaching Professor for Notre Dame’s MS in Data Science program.