معرفی
Chung Eun Lee is an Associate Professor in the Paul H. Chook Department of Information Systems and Statistics at the Zicklin School of Business, Baruch College, City University of New York (CUNY). Their work bridges statistical methodology with applications in data science and health research.
- Education: PhD in Statistics (University of Illinois at Urbana-Champaign), MA in Statistics (Columbia University), BS in Statistics and Business (Ewha Womans University).
Lee's research focuses on dimension reduction, functional data analysis, and tensor/time series modeling. They develop tools for analyzing complex datasets in both theoretical and applied contexts, including neurodegenerative diseases and multivariate volatility.
Notable trends in their publications include methodological innovations in Martingale Difference Divergence for time series analysis, extensions to quantile and conditional mean frameworks, and collaborations in geriatric nursing. Their 2024-2025 work emphasizes tensor response regression and cognitive impairment studies.
- Scientific Awards: Eugene Lang Fellowship for taxi transportation predictive modeling.
Lee has received research funding including a PSC-CUNY grant for block conditional mean component analysis. They serve as a reviewer for journals like Statistica Sinica and Biometrika, and participate in faculty governance committees.
