Ph.D, Statistics, Texas A&M University, U.S.  (2008)

Dissertation topic : Some applications of wavelets to time series data

Advisors : Marina Vannucci and David. B. Dahl

M.S., Statistics, Seoul National University, Korea  (2001)

Thesis title : A study on nonparametric change-point detection in regression functions

Advisor : Byeonguk Park

B.S., Computer Science and Statistics, University of Seoul, Korea (1999)

Professor at CNU (2014.03 - current)
Research Assistant Professor at SNU (2013.08 - 2014.02)
Research Associate at IUPUI (2012.08 - 2013.07)
Post-doc Fellow at IUPUI (2008.08 - 2012.07)

Method : FDR control; Bayesian computation (Markov chain Monte Carlo algorithm); Hierarchical statistical modeling; Latent variable method (Mixture model) coupled with EM algorithms; Bayesian network; Bayesian Variable Selection

Application : Bioinformatics (Metabolomics; Proteomics); Microarray Data Analysis;

Title: Individualization of therapy of breast cancer
April 01 2004 - March 31 2012  BC030400(PI: George Sledge).
Department of Defense $9,993,496 (My role: Biostatistician) 

Title: Interrogating epigenetic changes in cancer genomes
May 10 2010 - April 30 2015  U54 CA1113001(PI: Kenneth P. Nephew)
NIH-NCI $1,367,095/yr (My role: Biostatistician) 

Title: Mass informatics for two dimensional gas chromatography time-of-flight mass spectrometry based metabolomics
May 01 2009 - April 30 2013  1R01RR025887-01(PI: Xiang Zhang)
NIH-NIGMS & \$48,341/yr (My role: Co-investigator) 

Title: Pipeline development for omics-type bigdata analysis under 2D-fdr control
Nov. 01 2015 - Oct. 31 2018  2015R1D1A1A01058223 (PI: Jaesik Jeong)
NRF Grants & W 50,000,000/yr (My role: PI) 

Title: Biomarker discovery and prediction model development using deep learning algorithm
July. 01 2019 - Dec. 31 2019 (PI: Jaesik Jeong)
Korea Foundation for the Advancement of Science and Creativity(KOFAC) Grants

W 5,200,000/6months (My role: PI)

Title: Unified platform development for metabolomics data analysis under two stage control of 2D-fdr: from preprocessing to statistical analysis
June. 01 2018 - May. 31 2023  2018R1D1A1B07042372 (PI: Jaesik Jeong)
NRF Grants & W 50,000,000/yr (My role: PI)

Seo, G., Choi, H., Lim, J. and Jeong, J. (2025) Multiple testing of one-sided hypotheses with conservative nulls. Journal of Applied Statistics (Under revision)

Huang, R.,Yuan, Y., Wang, Z., Sun, Y., Shen, H., Qiu, H., Jeong, J., Jiang, K., Yan, W-J. (2025) Exploring the predictive role of personal identity in trait anxiety: Network and Bayesian evidence from Chinese college students. Frontiers in psychology 16, doi: 10.3389/fpsyg.2025.1459306

Kim, S.J., Oh, Y., Lim, J., Park, D., Ramos, M.L., Green, E.D. and Jeong, J. (2025) Double truncation method for controlling local false discovery rate in case of spiky null.  Computational Statistics 40, 745-766

Yuan, Y., Wu, D., Chen, Z., Chen, D., Zhou, Q., Jeong, J., Tu, Y. (2024) The relationship between self-consciousness and depression in college students: the chain mediating effect of meaning life and self-efficacy, with the moderating effect of social support. BMC Public Health 24, 794

Yuan, Y., Ye, F., Yang, Z., Zhang, Y., Xu, J., Qin, J., Chang, L., Zhao, K. Jeong, J., Jiang, K. (2024) Masculinity level predicts the risk of eating disorders in adolescents: a study based on a Bayesian network. Current Psychology 43, 21940-21951

Oh, Y., Kim, S.J., Kim, S. and Jeong, J. (2023) ShinyMetID: An R shiny based package for metabolite identification by mass spectral matching. Chemometrics and Intelligent Laboratory Systems 240 

Song, J., Jeong, J., Kim, E-H, and Hong, Y-S., (2023) A strategy for healthy eating habits of daily fruits revisited: A metabolomics study. Current Research in Food Science 6, 100440

Jeong, J. and Oh, S. (2022) Seasonal trends of the cosmic ray intensity observed by 16 neutron monitors for 1964-2020. Advances in Space Research

Yuan, Y., Jiang, S., Wen, X., Han, Z., Wu, D., Wang, X., Ye, T., Hu, Y., Jeong, J., and Xiang, M. (2022) The chain-mediation pathway of social avoidance to depression in college students is regulated by self-esteem. Frontiers in psychology 13

Yuan, Y., Jiang, S., Yan, S., Chen, L., Zhang, M., Zhang, J., Luo, L., Jeong, J., Lv, Y. and Jiang, K. (2022) The relationship between depression and social avoidance of college students: A moderated mediation model. Journal of affective disorders 300, 249-254

Kim, S.J., Oh, Y. and Jeong, J. (2021) Comprehensive comparative analysis of local false discovery rate control methods. Metabolites 11(1), 53

Jeong, J. and Oh, S. (2020) Seasonal variation of cosmic ray intensity observed by Oulu neutron monitor. Journal of Astronomy and Space Sciences 37(3), 165-70

Kim, J., Jeong, J., Lee, H-J., Alves, A.C., Han, S-T., Jeong, W-S., Kim, E-H, In, G., and Hong, Y.S. (2019) Metabolomic understanding of intrinsic metabolic physiology in panax ginseng during whole growing seasons. Journal of Ginseng Research 43(4), 654-65

Kim, J. and Jeong, J. (2019) MetPC: Metabolite Pipeline Consisting of metabolite identification and biomarker discovery under the control of two-dimensional FDR. Metabolites 9(5)

Kim, Y., Lim, Y., Lee, J. and Jeong, J. (2018) Controlling two-dimensional false discovery rates by combining two univariate multiple testing results with application to mass spectral data. Chemometrics and Intelligent Laboratory Systems 182, 149-57

Jeong, J., Seo, G. and Kim, E-S. (2018) Numerical analysis of Intracellular Amino Acid Profiles of Breast Cancer Cells with K-Ras or PI3K Mutation in response to Kinase Inhibitors. BMC Cancer 18:1109

Jeong, J., Kim, H-S, and Kim, S-J. (2018) Reconsideration of F1 score as a performance measure in mass spectrometry-based metabolomics. Chosun Univ. Nat. Sci. Journal 11(3), 161-4 

Song, E-H., Jeong, J., Park, C.Y., Kim, H-Y, Kim, E-H, Bang, E. and Hong, Y-S. (2018) Metabotyping of rice (Oryza sativa L.) for understanding its intrinsic physiology and potential eating quality. Food Research International 111, 20-30 

Kang, H., Jeong, J., Jung, S.P. and Gupta, P. (2017) Effects of Brush-anode configurations on performance and electrochemistry of microbial fuel cells. International journal of hydrogen energy 42(45), 27693-27700

Lee, S.D., Lee, H.S., Kim, J.Y., Jeong, J., Kahng, Y.H. (2017) A systematic optimization for graphene-based supercapacitors. Materials Research Express, 4(8), 085604

Lee, C., Park, S., and Jeong, J. (2016) Comprehensive comparison of normality tests: Empirical study using many different types of data. Journal of the Korean Data and Information Science Society, 27(5), 1399-1412

Shen, C., Li, X., and Jeong, J. (2016) Estimation of treatment effect in a sub-population: an Empirical Bayes Approach. Journal of Biopharmaceutical Statistics 26(3), 507-18

Song, E., Kim, H., Jeong, J., Chung, H., Bang, E., Hong, Y. (2016) A 1H HR-MAS NMR-based metabolomic study for Metabolic characterization of rice grain from various Oryza sativa L. cultivars Journal of Agricultural and Food Chemistry 64(15), 3009-3016 

Jeong, J., Audet, R., Chang, J., Wong, H., Willis, S., Young, B., Edgerton, S., Thor, A., Sledge, G., Duchnowska, R., Jacek, J., Adamowicz, K., Leyland-Jones, B. and Shen, C. (2016) A comparison between DASL and Affymetrix on probing the whole-transcriptome. JKSS 45(1) 149-155

Lee, C., Kim, S., Jeong, J. (2014) A view on the validity of central limit theorem: an empirical study using random samples from uniform distribution. Communications for Statistical Applications and Methods 21(6), 539-559

Kim, S., Ouyang, M., Jeong, J., Shen, C. and Zhang, X. (2014) A new method of peak detection for analysis of comprehensive two dimensional gas chromatography mass spectrometry data. Annals of Applied Statistics 8(2), 1209-31

Slee, R., Grimes, B., Bansal, R., Gore, J., Balckburn, C., Brown, L., Gasaway, R., Jeong, J., Victorino, J., March, K., Colombo, R., Herbert, B., and Korc, M. (2014) Selective inhibition of pancreatic ductal adenocarcinoma cell growth by the mitotic MPS1 kinase inhibitor, NMS-P715. Mol. Cancer Ther. 13(2), 307-315

Shen, C., Jeong, J., Li, X., Chen, P.S., and Buxton, A. (2013) Treatment benefit and treatment harm rate to characterize heterogeneity in treatment effect. Biometrics 69(3), 724-731 

 

Jeong, J., Zhang, X., Shi, X., Kim, S. and Shen, C. (2013) An efficient post-hoc integration method improving peak alignment of metabolomics data from GCxGC/TOF-MS. BMC Bioinformatics 14:123

Jeong, J., Vannucci, M. and Ko, K. (2013) A wavelet-based Bayesian approach to regression models with long memory errors and its application to fMRI data. Biometrics 69(1), 184-196

Kim, S., Koo, I., Jeong, J., Wu, S., Shi, X. and Zhang, X. (2012) Compound identification using partial and semi-partial correlations for gas chromatography mass spectromety data. Analytical Chemistry 84(15), 6477-6487

Jeong, J., Shi, X., Zhang, X., Kim, S. and Shen, C. (2012) Model-based peak alignment of metabolomic profiling from two dimensional gas chromatography mass spectrometry. BMC Bioinformatics 13:27

Jeong, J., Shi, X., Zhang, X., Kim, S., and Shen, C. (2011) An empirical Bayes model using a competition score for metabolite identification in gas chromatography mass spectrometry. BMC Bioinformatics 12:392

Jeong, J. (2011) A finite mixture model for gene expression and methylation profiles in Bayesian framework. The Korean Journal of Applied Statistics 24(4), 609-622

Kim, S., Fang, A., Wang, B., Jeong, J., Zhang, X. (2011) An optimal peak alignment for comprehensive two dimensional gas chromatography mass spectrometry using mixture similarity measure. Bioinformatics 27(12), 1660-6.

Jeong, J., Li, L., Liu, Y, Nephew, K.P., Huang, T.H., and Shen, C. (2010). An Empirical Bayes model for gene expression and methylation profiles in antiestrogen resistant breast cancer. BMC Medical Genomics 3:55 

Kwon, D., Vannucci, M., Song, J. J., Jeong, J., and Pfeiffer, M. R. (2008). A novel wavelet-based thresholding method for the pre-processing of Mass Spectrometry Data that account for heterogeneous noise. Proteomics, 8(15), 3019–3029. 

Ph. D.

[1]  Yuan Ye

Master

[1]  Zhuolin Liu

[2]  Yunbu Cong 

Master

[1] Kim, Jaehwi (Aug. 2018)

Currently Researcher at Korea Rural Ecomomy Institute
 

[2] Yu, Gyeongmi (Aug. 2019)

Currently working at Gwangju Techno Park

[3] Shin, Bomi (Aug. 2021)

Currently working at Chonnam National University

[4] Kim, Shin June (Feb. 2022)

Statistician

[5] Oh, Yeongjae (Feb. 2022)

Currently working at Korea National Statistics Office

[1] Multivariate statistical methods: A prime. Chapman and Hall/CRC press

    Jeong, J.

[2] Probability and statistical inference. Pearson

    Baek, J., Son, Y., and Jeong, J.