Hyeong Jin Hyun

Hyeong Jin Hyun

Asst Professor (F2)

4428D French Hall, West
2815 Commons Way
Cincinnati, Ohio 45219
Email hyunhi@ucmail.uc.edu

Education

Ph.D.: Purdue University 2025 (Statistics)

M.S.: Seoul National University 2020 (Statistics)

B.S.: Seoul National University 2018 (Mathematics)

B.S.: Seoul National University 2018 (Statistics)

Research and Practice Interests

My research lies at the intersection of deep learning and statistical methodology, with a focus on developing principled frameworks that bridge the two fields. I am particularly interested in simulation-based inference, likelihood-free inference, deep generative models, and conformal prediction, as well as their applications in real-world domains such as data privacy, healthcare, and finance.

Positions and Work Experience

2025 -2026 Postdoctoral Researcher, Purdue University,

Publications

Peer Reviewed Publications

Joungyoun Kim, Eun-A Choi, Ye-Eun Han, Jae-woo Lee, Ye-seul Kim, Yonghwan Kim, Hyo-Sun You, Hyeong-Jin Hyun, Hee-Taik Kang. (2020. ) Association between statin use and all-cause mortality in cancer survivors, based on the Korean health insurance service between 2002 and 2015. Nutrition, Metabolism and Cardiovascular Diseases, ,

Joungyoun Kim, Hyeong-Jin Hyun, Eun-A Choi, Yonghwan Kim, Yoon-Jong Bae, Hee-Taik Kang. (2020. ) Metformin use reduced the risk of stomach cancer in diabetic patients in Korea: an analysis of Korean NHIS-HEALS database. Gastric Cancer , ,

Hyeong Jin Hyun, Youngrae Kim, Sun Jo Kim, Joungyeon Kim, Johan Lim, Dong Kyu Lim, and Sung Won Kwon. (2021. ) Constrained principal component analysis with stochastically ordered scores for high-dimensional mass spectrometry data. Chemometrics and Intelligent Laboratory Systems, ,

Hyeong Jin Hyun and Xiao Wang. (2024. ) Fast Cost-constrained High Dimensional Regression. Statistica Sinica, ,

Hyeong Jin Hyun and Xiao Wang. (2025. ) Neural Conformal Inference for jump diffusion processes. Journal of Econometrics, ,

Yijia Liu, Hyeong Jin Hyun, and Xiao Wang. (2026. ) Regularized Physics-Informed Neural Networks for Parameter Estimation in Differential Equation Models. Techonmetrics, ,

Contact Information

Academic - 4428D French Hall, West
2815 Commons Way
Cincinnati  Ohio, 45219
hyunhi@ucmail.uc.edu