I am an assistant professor in the Department of Applied Statistics, Myongji University.
Before joining Myongji University, I was an assistant professor in the Department of Information Statistics at Chungbuk National University. Prior to that, I was a postdoctoral researcher at the Institute of Natural Science, KAIST. I received my Ph.D. in Mathematical Science from KAIST, advised by Prof. Yeonseung Chung. I also earned my M.S. and B.S. degrees in Mathematical Science from KAIST.
Here is my CV.
Bayesian nonparametrics
environmental epidemiology
statistical modeling of spatiotemporal data, longitudinal data, functional data, zero-inflated data
deep learning methods for structured data analysis
patient behavior and healthcare data analysis
E-mail: jpark@mju.ac.kr
Office : S1602, Social Science Campus, Myongji University
Ph.D. in Mathematical Science, KAIST, 2020.
Advisor : Prof. Yeonseung Chung
Thesis : Nonparametric Bayesian functional two-part random effects model for analyzing longitudinal data with zero inflation
M.S. in Mathematical Science, KAIST, 2012.
B.S. in Mathematical Science, KAIST, 2010.
2025.09. - Present : Assistant Professor, Department of Applied Statistics, Myongji University.
2022.03. - 2025.08 : Assistant Professor, Department of Information Statistics, Chungbuk National University.
2020.09. - 2022.02 : Postdoctoral Researcher, Institute of Natural Science, KAIST.
Peer-Reviewed Papers
Yang, D., Park, J., Jung, H. and Chung, Y. (2025) Profile monitoring via a nonparametric Bayesian online learning framework: Application to wafer map data in the semiconductor manufacturing industry. Journal of Quality Technology, 1-25.
Park, J. (2025) Bayesian hedonic pricing model: an application to the price-creation time association in artworks. Journal of the Korean Data Analysis Society, 27(3), 809-822.
Park, J., Sim, K., Yang, D., Kim, Y., Hashizume, M. and Chung, Y. (2025) Nonparametric Bayesian Poisson hurdle random effects model for analyzing zero-inflated data: an application to temperature-suicide study. Environmental and Ecological Statistics, 32, 579-601.
Park, J., Lee, Y., Yang, D., Park, J. and Jung, H. (2024) Artwork pricing model based on the popularity and ability of artists. AStA Advances in Statistical Analysis, 108, 889-913.
Yoon, J., Kim, J., Chung, Y., Park, J., Leigh, J. and Kim, S. (2024) Change in employment status and its causal effect on suicidal ideation and depressive symptoms: A marginal structural model with machine learning algorithms. Scandinavian Journal of Work, Environment & Health, 50(3), 218-227.
Lee, J., Kwon, J. and Park, J.* (2024) Predicting art price using machine learning and statistical models. Journal of the Korean Data Analysis Society, 26(1), 117-134.
Yang, D., Park, J., Park, H., Hong, S., Kim, J., Huh, S., Kim, E., Jeong, J. and Chung, Y. (2023) Robust control chart based on mixed-effects modeling framework: A case study in NAND flash memory industry. Quality Engineering, 36(3), 510-520.
Yoon, J., Kim, J., Chung, Y., Park, J., Sorensen, G. and Kim, S. (2021) Gender difference in under-reporting hiring discrimination in South Korea: a machine learning approach. Epidemiology and Health, 43, e2021099.
Yoo, Y., Lee, S., Kim, W., Kim, H., Chung, C., Ha, S., Park, J., Chung, Y., Kang, H. and Kim, E. (2021) Early chronic memantine treatment-induced transcriptomic changes in wild-type and Shank2-mutant mice. Frontiers in Molecular Neuroscience, 14, 712576.
Park, J., Choi, T. and Chung, Y. (2021) Nonparametric Bayesian functional two-part random effects model for longitudinal semi-continuous data analysis. Biometrical Journal, 63(4), 787-805.
Yu, J., Park, J., Choi, T., Hashizume, M., Kim, Y. and Chung, Y. (2020) Nonparametric Bayesian functional meta-regression with spatial dependency. Journal of Agricultural, Biological and Environmental Statistics, 26, 45-70.
Noh, H., Choi, T., Park, J. and Chung, Y. (2020) Bayesian latent factor regression for multivariate functional data with variable selection. Journal of the Korean Statistical Society, 49, 901-923.
Noh, H., Park, J., Sim, G., Yu, J. and Chung, Y. (2014) Nonparametric Bayesian statistical models in biomedical research. The Korean Journal of Applied Statistics, 27(6), 867-889.
Under Review / In Preparation
Jung, K., Kim, Y., Khan, N. T. and Park, J.* (2025+) Transition in the competitive dynamics of South Korea’s telecommunications market driven by the emergence of low-cost competitor group. Submitted
Park, J., Sim, K., Yang, D. and Chung, Y. (2025+) Spatio-seasonal modeling of Haemaphysalis longicornis in South Korea: a nonparametric Bayesian approach. To be submitted soon
International Society for Bayesian Analysis (ISBA)
International Biometric Society (IBS)
American Statistical Association (ASA)
Korean Statistical Society (KSS)
Korean Data Analysis Society (KDAS)
Myongji University
Statistical Methods (2025F)
Calculus I (2025F)
Chungbuk National University
Statistical Simulation Lab (2022S, 2023S, 2024S, 2025S)
Bayesian Statistics (2022S, 2023S, 2024S, 2025S)
Advanced Applied Statistics (2022S)
Survival Analysis (2022F, 2023F)
Clinical Data Analysis (2022F, 2023F)
Biostatistics (2022F)
Regression Analysis (2023S)
Advanced Regression Analysis (2023S)
Advanced Bayesian Statistics (2023F)
Financial and Insurance Statistics (2023F, 2024F)
Matrix Algebra (2024F)