I am an Assistant Professor of Biostatistics and Health Data Science at Indiana University (IU) School of Medicine. I am also an Adjunct Assistant Professor at the IU Richard M. Fairbanks School of Public Health. I earned my PhD in Biostatistics from Emory University in 2019. I obtained a Bachelor's degree in Mathematics, Statistics and Operations Research from New York University Stern School of Business in 2014.
My methodological research lies in the development of novel statistical methods for analyzing and modeling modern biomedical data of complex and/or mixed modalities. The data modalities I study 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 biomedical data produced by high-tech medical imaging or wearable technologies, with the overarching clinical goal of facilitating discovery, evaluation and validation of novel non-invasive biomarkers, improving prediction of disease risk and delineating complex pathophysiology of various diseases for their cure and prevention.
Jang JH (2021). Principal component analysis of hybrid functional and vector data. Statistics in Medicine, in press.
Jang JH, Manatunga AK, Chang C and Long Q (2021). A multiple imputation approach to bivariate functional data with missing components. Statistics in Medicine, 40(22), 4772-4793.
Chang C, Jang JH, Manatunga AK, Taylor AT and Long Q (2020). A latent Bayesian class model to predict kidney obstruction in the absence of gold standard. Journal of the American Statistical Association, 115(532), 1645-1663.
Jang JH, Peng L and Manatunga AK (2019). Assessing alignment between functional markers and ordinal outcomes based on broad sense agreement. Biometrics, 75(4), 1367-1379.
Jang JH, Manatunga AK, Taylor AT and Long Q (2018). Overall indices for assessing agreement among multiple raters. Statistics in Medicine, 37(28), 4200-4215.