People

HDSL Lab is led by Seyoung Park in the Department of Applied Statistics at Yonsei University.

Principal investigator

Seyoung Park (박세영)
Associate Professor, Yonsei University
Academic background and service · ishspsy@yonsei.ac.kr

Master's students and alumni at Yonsei

Entered in 2026

• Seungjin Lee (이승진)
  Quantile inference

• 강민채
  Statistical inference and prediction

Entered in 2025

• 정현수
  Conformal prediction

• 이창현
  Transfer learning for multivariate models

Entered in 2024

• Joonho Kim (김준호) · ICML 2026
  Ph.D. student, Graduate School of AI, KAIST
  Transfer learning in high-dimensional Ising models

• Yeichan Kim (김예찬) · NeurIPS 2025
  Ph.D. student, Department of Statistics, Harvard University
  Transfer learning and benign overfitting

• 김민재

• Hyangwon Jang (장향원)
  Statistical researcher, National Cancer Center, Korea

• 이수진

• 최홍신
  Low-rank regression

Undergraduate researchers

• 오경주
  Undergraduate researcher, Yonsei University

• 허형진
  Undergraduate researcher, Yonsei University

Earlier graduate advisees

• Youngjin Cho (조영진) · JKSS 2022
  Former M.S. student; Assistant Professor, Department of Mathematical Sciences, University of Nevada, Las Vegas
  Multi-task learning with low rank and generalized sparsity in a high-dimensional model.

• Minyoung Park (Naver) · KJAS 2020
  One-step spectral clustering of weighted variables on single-cell RNA-sequencing data.

• Hyunjin Kim, PhD. (Financial Supervisory Service) · JASA 2026 · Scientific Reports 2023 · CSDA 2023
  Debiased inference for multivariate quantile regression for regional quantiles.

• Hayeon Won (Samsung Electronics) · KJAS 2021
  Mean-shortfall optimization problem with perturbation methods.

• Sohyeon Kim (NC State University, PhD student)
  Matrix decomposition for regional quantile regression with multiple responses.

• Hui Jin Kim (Tokyo Electron) · KJAS 2022
  Pairwise fusion approach to cluster analysis with applications to movie data.

• Dayoung Ahn (SBI Savings Bank) · KJAS 2022
  Linear programming models using a Dantzig type risk for portfolio optimization.

• Sungmin Ji (지성민)
  Former M.S. student; Ph.D. student in Statistics and Data Science, University of Arizona
  Multivariate single index models for predicting multi-dimensional drug responses.

• Jiyeon Lee (Naver)
  Reduced Rank Quantile Regression with Row-Wise Sparsity.

• Jinku Kang (JB Woori Capital)
  Maximum Sharpe Ratio Portfolio Optimization with Perturbation Method and Schaible Transformation.

• 이윤정 · KJAS 2023
  M.S. research, Sungkyunkwan University

• Minkyung Kim (김민경)
  M.S. research, Sungkyunkwan University

• Haein Cho (조해인) · KJAS 2024
  Mean-shortfall portfolio optimization.

• 전가영
  M.S. research, Sungkyunkwan University

Prospective students

I welcome inquiries from prospective Ph.D. students interested in high-dimensional statistics, nonparametric statistics, and machine learning. Please email your CV and a brief description of your research interests to ishspsy@yonsei.ac.kr.