My current research focuses on three main areas: (1) complicate data analysis in medical research; (2) statistical methods in variable selection and big/massive data analysis; (3) statistical methods in medical diagnosis. Specifically, at NYU Health, I actively collaborate with physician-researchers from various departments. I lead statistical analyses for multiple NIH or VA funded studies, including randomized control trials and observational studies, as well as developing procedures to address study design, longitudinal data analysis, missing data problems, causal inference, meta-analysis, functional data from fMRI, and imaging data. Also I am wording on various statistical theories, including model selection, support vector machine, clustering/biclustering, massive data analysis and online learning as well as their applications in health care data. In medical diagnosis, I am interested in the development of statistical methodology in receiver operating characteristic (ROC) analysis, missing data problems, personalized medicine, and population based epidemiological studies.
Assistant Professor, Department of Population Health
PhD from Georgia State University
Journal of computational & graphical statistics. 2017; ?-?
JAMA. 2016 Dec 06; 316(21):2204-2213
JAMA oncology. 2016 Jan 14;
Journal of statistical computation & simulation. 2016 FEB 11; 86(3):494-509
Statistica Sinica. 2017 JUL; 27(3):1281-1298
Statistical methods in medical research. 2016 Oct; 25(5):2120-2137
Journal of ethnicity in substance abuse. 2018 May 04; 1-14
EXERCISE TRAINING TO IMPROVE PHYSICAL FUNCTION AND QUALITY OF LIFE IN HEART FAILURE PATIENTS: A META-ANALYSIS [Meeting Abstract]
Annals of behavioral medicine. 2018 APR; 52:S260-S260