Research Interests

• Statistical machine learning for complex data with emphasis on interpretable solutions (supervised and unsupervised learning, anomaly detection)

• Statistical/ML methodology for non-conventional data types (functional/sensor, ultra-high-dimensional, tensor, and compositional data)

• Privacy-preserving data sharing and statistical analysis (synthetic data generation and evaluation, differentially private methods)

• Socially responsible applications of AI/ML 

Education

Ph.D in Statistics, Department of Statistics and Operations Research, University of North Carolina at Chapel Hill

MS & BS in Statistics, Department of Computer Science and Statistics, Seoul National University

Professional Experience

Professor, KAIST (2024~)

Associate Professor, KAIST (2021 ~ 2024)

Affilliated Faculty, University of Georgia (2021-2023)

Associate Professor, University of Georgia (2012 ~ 2021)

Assistant Professor, University of Georgia (2006 ~ 2012)

Editorial Service

Associate Editor for The American Statistician, 2014 - 

Associate Editor for Journal of Korean Statistical Society, 2018 - 

Editorial Board for Chemometrics and Intelligent Laboratory System, 2016 -