Contact

Room 412, Science Building I,

Department of Statistics, College of Natural Sciences

Yeungnam University

280 Daehak-ro, Gyeongsan-si, Gyeongbuk 38541, Republic of Korea

Email: jystat@yu.ac.kr

ORCID: 0000-0003-0782-614X

Research Interests

Survival Analysis: Accelerated failure time (AFT) models with a particular focus on time-dependent covariates, joint modeling of longitudinal and time-to-event data, multistate models, and methodological issues such as immortal time bias

Epidemiologic Study Design: Case-only designs and matching-based methods

Health Big Data Analytics: Analysis of Korean national health datasets, including NHIS, HIRA, KNHANES, and KoGES

Statistical Software: Development of R packages for survival modeling

Education

Ph.D., Department of Applied Statistics, Yonsei University, 2019 - 2024

M.S., Department of Statistics, Hankuk University of Foreign Studies, 2014 - 2016

B.S., Department of Statistics, Hankuk University of Foreign Studies, 2007 - 2014

Research Expreiences

Assistant Professor, Department of Statistics, Yeungnam University, South Korea, 2025 - present

Post Doctor, Busan centor for medical mathematics, Natioanl Institute for Mathematical Sciences, South Korea, 2024 - 2025

Researcher, Department of Neurology, Ewha Women University, South Korea, 2023 - 2024

Visiting Scholar, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, USA, 2022 - 2023

Researcher, Department of Biostatistics Collaboration Unit, Yonsei Severance Hospital, South Korea, 2018 - 2020

Researcher, Department of Environmental Health, Korean Environment Institute, South Korea, 2016 - 2018

Researcher, Clinical Big Data Laboratory, Seoul Medical University Hospital Biomedical Research Institute, South Korea, 2015 - 2016

Conference Presentations

'Survival Analysis in Epidemiology: Flexible Modeling with Time-Dependent Covariates', 2025 Intensive Lecture on Medical Mathematics, National Institute for Mathematical Sciences (NIMS), Korea

'Healthcare Big Data Analysis of Proton Pump Inhibitor and Cardiovascular Risk Using the Self-Controlled Case Series Method', 2025 Spring Conference, Korean Data and Information Science Society (KDISS), Korea

'Fitting an Accelerated Failure Time Model with Time-Dependent Covariates via Nonparametric Gaussian Scale Mixtures', 2023 Joint Statistical Meetings (JSM), Toronto, Canada

'Study on Renal Function Decline According to Renal Hyperfiltration Using Big Data on National Health Checkup', 2016 Annual Conference, Korean Society of Medical Informatics (KOSMI), Korea

'Sparse Factor Analysis via Post Processing', 2015 Fall Conference, Korean Statistical Society (KSS), Korea

Reviewer Activity

Journal of the Korean Statistical Society (Field: Survival Analysis), 2024 - present