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Dingjing Shi is an Assistant Professor in the School of Psychology at Georgia Institute of Technology. He received his Ph.D. in Quantitative Psychology from the University of Virginia in 2020. His research interests center around Bayesian statistics, longitudinal data, network models, and smartphone wearable-based ecological momentary assessment. Dingjing has contributed significantly to the field through various publications addressing modern approaches to psychological network modeling, Bayesian multivariate generalizability theory, and selection bias mitigation in causal modeling. His scholarly work includes investigating practices related to ecological momentary assessment through a nationwide factorial experiment, as well as developing new fit measures for assessing the structure dimensionality of multiple latent variables. Dingjing's research helps to advance the understanding of complex psychological processes and improve methodologies in psychological assessment.
Department of Computer Science: GRE scores are optional for Fall 2026.