Underwood International College

Assistant Professor of Quantitative Risk Management

• Ph.D. in Biostatistics, Emory University, 2019
• B.S. in Mathematics, Statistics and Operations Management, New York University, 2014

Profile

Jeong Hoon Jang is a statistician fascinated by complex and diverse modalities of modern data. He is currently affiliated in Underwood International College and Department of Applied Statistics (joint appointment) at Yonsei University. Before joining Yonsei in March 2022, Dr. Jang was an Assistant Professor of Biostatistics and Health Data Science at Indiana University in 2019-2022. Dr. Jang earned his PhD in Biostatistics from Emory University in 2019. He received his Bachelor's degree in Mathematics, Statistics and Operations Research from New York University Stern School of Business in 2014.

Dr. Jang’s methodological research lies in the development of novel statistical methods for analyzing and modeling modern data of complex and/or mixed modalities. The data modalities he studies encompass traditional types that are categorical-, ordinal- and continuous-scaled, as well as those that are highly structured and complex, such as high-dimensional, multi-dimensional, functional (e.g., curve and image) and multi-mode data. The newly developed statistical methods are designed to effectively leverage information from complex data produced by high-tech imaging or wearable technologies, with the overarching goal of facilitating discovery, evaluation and validation of novel non-invasive markers, improving prediction of health outcomes, and delineating complex pathophysiology of various diseases for their cure and prevention.

Education

Ph.D. in Biostatistics, Emory University, 2019

B.S. in Mathematics, Statistics and Operations Management, New York University, 2014

Courses and Current Research Areas

Courses

Regression Analysis

Statistical Analytic Methods

Current Research Areas

Functional data analysis; Longitudinal data analysis; Agreement; Missing Data; Bayesian methods; Predictive modelling.