2024.03 — Present
Integrated Ph.D. Course
Department of Statistics & Data Science, University of Seoul, South Korea
Statistics · Machine Learning · Data Science
Jaesung Lim
Jaesung Lim is currently pursuing an integrated Ph.D. course in the Department of Statistics & Data Science at the University of Seoul, under the supervision of Prof. Jong-June Jeon in OPTIM.Lab. . He completed his undergraduate studies at the University of Seoul with a double major in Statistics and Economics.
Background
Education
2018.03 — 2024.02
B.S. in Statistics / B.S. in Economics
University of Seoul, South Korea · Double major
Focus
Research Interests
His work lies at the intersection of statistical theory and machine learning, focusing on how models can learn effectively from imperfect or partially observed data.
Tabular & Time-series Learning
Learning robust representations and predictive structure from structured and sequential data.
Missing Data Imputation
Principled imputation and uncertainty-aware modeling for incomplete observations.
Time-series Forecasting
Forecasting methods that account for temporal dependence and distributional structure.
Synthetic Data Generation
Generative modeling for useful, diverse, and statistically faithful synthetic data.