Jooho Kim
Portrait of Jooho Kim

Jooho Kim

Hi, welcome to my website. I am a master’s student in the Department of Statistics at Seoul National University, advised by Professor Yei Eun Shin. My research focuses on multiple imputation for missing covariates in survival analysis under two-phase sampling designs, such as case-cohort and nested case-control studies. My master’s research is supported by a graduate fellowship from the National Research Foundation of Korea. Previously, I received my Bachelor’s degree in Food and Resource Economics and Statistics from Korea University.

Research Interests

My primary methodological interests are in statistical machine learning, optimization, high-dimensional and multivariate statistics, and missing data.

CV

View my CV (PDF).

Recent Works

Preprint

Preprint

Kim and Shin (2025) Scalable and Efficient Multiple Imputation for Case-Cohort Studies via Influence Function-Based Supersampling.
arXiv:2511.14692.

KSS Logo

Presentation at the 2025 Winter Conference of the Korean Statistical Society

"Scalable and Efficient Multiple Imputation for Case-Cohort Studies via Influence Function-Based Supersampling"

Recipient of the Graduate Student Paper Award

[slides]
Talk image

Presentation at the 2nd Symposium on Causal Inference

"Multiple imputation for incomplete survival data with missing covariates: Toward valid causal inference"

[slides]

Honors and Awards

  • Graduate Student Paper Award, Korean Statistical Society, Dec. 2025
  • Fellowship for Fundamental Academic Fields, Seoul National University, May 2024; Feb. 2025
  • Graduate Research Fellowship in Science and Engineering, National Research Foundation of Korea, Sep. 2024 - Aug. 2025
  • Special Scholarship, Korea University, Sep. 2022; Mar. 2023
  • Semester High Honors, Korea University, Sep. 2018; Mar. 2022; Mar. 2023
  • Agricultural Economics Alumni Scholarship, Department of Food and Resource Economics, Korea University, Mar. 2022

Teaching

Teaching Assistant at Seoul National University

  • Fall 2025: Survival Data Analysis and Lab
  • Spring 2025: Selected Topics Seminar
  • Fall 2024: Mathematical Statistics 2
  • Spring 2024: Statistics Lab