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Dr. Chung is an Assistant Professor of Statistics at Soongsil University. He previously served as a Research Associate at the Harvard T.H. Chan School of Public Health and earned his Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill (UNC). He also received M.S. and B.S. degrees in Statistics from Seoul National University.

His research group focuses on developing statistical methodologies for genome-wide association studies (GWAS), heritability estimation, and genomic risk prediction. Additionally, they analyze genomic and epigenomic data to identify causal variants and investigate causal relationships between diseases and other factors. Earlier in his career, Dr. Chung worked in the IT industry as a computer programmer, equipping him with expertise in C/C++, Java, Python, R, and parallel computing. During his doctoral and postdoctoral training, he developed novel statistical methods for GWAS, quantitative trait loci (QTL) mapping, expression QTL (eQTL) analysis, and genomic risk prediction. He has also contributed to large-scale omics projects, including studies on shared genetic architecture, methylation, and metabolomics data analysis.