Research output per year
Research output per year
Personal profile
Education
o (2000) B.A., Korea University
o (2005) M.S., University of North Carolina, Chapel Hill
o (2009) Ph.D., University of North Carolina, Chapel Hill
o (2005) M.S., University of North Carolina, Chapel Hill
o (2009) Ph.D., University of North Carolina, Chapel Hill
Professional Experience
o (2017~present) Associate Professor, KAIST, Daejeon
o (2016~2022) Visiting Associate Professor, Institute of Tropical Medicine, Nagasaki University, Japan
o (2011~2016) Assistant Professor, KAIST, Daejeon
o (2009-2010) Post-doctoral Research Fellow, Harvard T.H. Chan School of Public Health, Boston, US
o (2016~2022) Visiting Associate Professor, Institute of Tropical Medicine, Nagasaki University, Japan
o (2011~2016) Assistant Professor, KAIST, Daejeon
o (2009-2010) Post-doctoral Research Fellow, Harvard T.H. Chan School of Public Health, Boston, US
Research interests
Bayesian Statistical Modeling
Environmental Epidemiology
Biostatistics
Environmental Epidemiology
Biostatistics
Major Research Achievements
o Nonparametric Bayes conditional distribution modeling with variable selection
o The local Dirichlet process
o Changing susceptibility to non-optimum temperatures in Japan, 1972–2012: the role of climate, demographic, and socioeconomic factors
o Associations between Long-Term Exposure to Chemical Constituents of Fine Particulate Matter (PM2.5) and Mortality in Medicare Enrollees in the Eastern United States
o The local Dirichlet process
o Changing susceptibility to non-optimum temperatures in Japan, 1972–2012: the role of climate, demographic, and socioeconomic factors
o Associations between Long-Term Exposure to Chemical Constituents of Fine Particulate Matter (PM2.5) and Mortality in Medicare Enrollees in the Eastern United States
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Collaborations and top research areas from the last five years
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Nonparametric Bayesian Meta-Analysis Model With Change Point Detection: A Case Study on Time-Varying Temperature–Mortality Associations
Yang, D., Choi, T., Park, J., Jung, H., Kim, Y., Hashizume, M. & Chung, Y., Apr 2026, In: Statistics in Medicine. 45, 8-9, e70506.Research output: Contribution to journal › Article › peer-review
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Bayesian hierarchical time-varying distributed lag nonlinear model: applications in the short-term association between ambient temperature and daily confirmed cases of COVID-19
Han, D., Lee, K., Chung, Y., Kobayashi, G. & Choi, T., 2025, (Accepted/In press) In: Journal of Applied Statistics.Research output: Contribution to journal › Article › peer-review
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Nationwide Machine Learning-Ensemble PM2.5Mapping Prediction and Forecasting Models in South Korea with High Spatiotemporal Resolution and Health Risk Estimation-Based Evaluations
Ahn, S., Kim, A., Chung, Y., Kang, C., Kim, S., Kwon, D., Park, J., Oh, J., Park, J., Moon, J., Song, I., Min, J., Lee, H. J., Kim, H. & Lee, W., 15 Aug 2025, In: Environment and Health. 3, 8, p. 878-887 10 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Nonparametric Bayesian Poisson hurdle random effects model: an application to temperature–suicide association study
Park, J., Sim, K., Yang, D., Kim, Y., Hashizume, M. & Chung, Y., Jun 2025, In: Environmental and Ecological Statistics. 32, 2, p. 579-601 23 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
PredDETR: An End-to-End Transformer-Based Model for One-Stage Pedestrian Trajectory Prediction
Kwon, Y., Oh, S., Moon, J. & Chung, Y., 2025, In: Proceedings - IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS. 2025Research output: Contribution to journal › Conference article › peer-review