2024 ~ Present
Assistant Professor
Department of Statistics, University of Seoul
Seoul, South Korea
Seong-ho Lee
Assistant Professor
Department of Statistics, University of Seoul
Employment
2023 ~ 2024
Research Fellow
Department of Biostatistics, University of Michigan
Ann Arbor, MI, USA
Education
2018 ~ 2023
Ph.D. in Statistics
The Pennsylvania State University
University Park, PA, USA
2016 ~ 2018
M.A. in Applied Statistics
Yonsei University
Seoul, South Korea
2009 ~ 2016
B.S. in Mathematics and B.A. in Applied Statistics
Yonsei University
Seoul, South Korea
Grants
2026.03 ~ 2031.02
Principal Investigator
Outstanding Research - Early Career (Type B)
National Research Foundation of Korea
Appointment
2026 ~ Present
Vice Director
Big Data Innovation and Convergence University Project Group
University of Seoul
Awards
2024
Distinguished Teaching Award
University of Seoul
2019
Eberly College of Science Innovative Teaching Award
The Pennsylvania State University
Research interests
Semiparametric theory
for developing efficient inference methods in models with nonparametric components
Incomplete data analysis
for constructing valid inference methods based on partially observed data
Distribution shift
for enabling reliable inference under distributional differences between source and target data
Optimal sampling
for designing sampling strategies that minimize loss or maximize efficiency under resource constraints
Publications
2026+
Surrogate-assisted optimal sampling for risk prediction under measurement constraints
Sunhyun Park⁺, Seong-ho Lee*
submitted
2026
DOD: Detection of outliers in high dimensional data with distance of distances
Seong-ho Lee, Yongho Jeon*
Statistics and Computing
2026
Efficient inference under label shift in unsupervised domain adaptation
Seong-ho Lee, Yanyuan Ma, Jiwei Zhao*
Journal of Machine Learning Research
2025
SPARCC: Semi-parametric robust estimation in a right-censored covariate model
Seong-ho Lee, Brian Richardson⁼, Yanyuan Ma, Karen Marder, Tanya Garcia*
Journal of the American Statistical Association: Theory and Methods
2024
Doubly flexible estimation under label shift
Seong-ho Lee, Yanyuan Ma, Jiwei Zhao*
Journal of the American Statistical Association: Theory and Methods
2023
Semiparametric approach to estimation of marginal mean effects and marginal quantile effects
Seong-ho Lee*, Yanyuan Ma, Elvezio Ronchetti
Journal of Econometrics
2023
Optimal sampling for positive only electronic health record data
Seong-ho Lee*, Yanyuan Ma, Ying Wei, Jinbo Chen
Biometrics
2022
Covariate balancing for causal inference on categorical and continuous treatments
Seong-ho Lee, Yanyuan Ma, Xavier de Luna*
Econometrics and Statistics