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Xianglong Liang received his Ph.D in Statistics in 2022.02. He received his B.A in Statistics from Ludong University in China, and M.A in Statistics from Pusan National University.
His email is xianglongliang at gmail.com
His dissertation title is 'A weighted selection probability to locate rare variants associated with highly correlated multiple phenotypes'.
His publication is
Liang, X. and Sun, H.* (2023) Weighted selection probability to prioritize susceptible rare variants in multi-phenotype association studies with application to a soybean genetic data set, Journal of Computational Biology 30(10), p.1075-1088
Kipoong Kim received his Ph.D in Statistics in 2022.02. He received his B.A in Statistics from Pusan National University, and M.A in Statistics from Pusan National University.
His email is kkp7700 at gmail.com
His dissertation title is 'Resampling-based variable selection strategies for analysis of high-dimensional genomic data'.
His publication is
Kim, K. and Sun, H.* (2019) Incorporating genetic networks into case-control association studies with high-dimensional DNA methylation data, BMC Bioinformatics 20:510
Kim, K., Koo, J. and Sun, H.* (2020) An empirical threshold of selection probability for analysis of high-dimensional correlated data, Journal of Statistical Computation and Simulation 90(9) p.1606-1617
Kim, K. and Sun, H.* (2020) Selection Probability of Multivariate Regularization to Identify Pleiotropic Variants in Genetic Association Studies, Communications for Statistical Applications and Methods 27(5), p.535-546
Kim, K., Jun, T., Ha, B., Wang, S. and Sun, H.* (2023) New statistical selection method for pleiotropic variants associated with both quantitative and qualitative traits, BMC Bioinformatics 24:381
Dan Huang received her Ph.D in Statistics in 2025.08. She received her B.A in Computer science from Northeast Normal University in China, and M.A in Statistics from Pusan National University.
Her email is dhuang1221 at gmail.com
Her dissertation title is 'Integrative network estimation: a statistical framework for combining prior knowledge and data-driven inference in genomic studies'.
Her publication is
Huang, D. Kim, R. and Sun, H.* (2024) Resampling-based methods for the error control of variable selection in high-dimensional genomic data, Journal of the Korean Data and Information Science Society 35(5), p.691-702.
Huang, D. Jo, G. Kim, K. and Sun, H.* (2025) Weighted overlapping group lasso for integrating prior network knowledge into gene set analysis, BMC Bioinformatics 26:226. [Link]
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