Integrated analysis for electronic health records with structured and sporadic missingness

My research interests lie in statistical learning for data with dynamic-, longitudinal-, or trajectory- based structures. Such data often exhibit complicated intrinsic mechanisms, dependencies, and heterogeneity, as well as challenges such as noise, irregular sampling, and high- or even infinite-dimensionality. To address these, I focus on developing new methodologies for statistical learning of functions, differential equations, and operators, supporting effective analysis in biology, health, epidemiology, and environmental science.

Chuan Hong, PhD, joins Duke as an Assistant Professor of Biostatistics effective August 1. She comes to the Duke from Harvard Medical School, where she served as an Instructor of Biomedical Informatics. Dr. Hong received her PhD degree in Biostatistics from the University of Texas Health Science Center at Houston. After that, she obtained postdoctoral trainings in Biostatistics at Harvard T. H. Chan School of Public Health from 2016 to 2018, and in Biomedical Informatics at Harvard Medical School from 2018 to 2019.