Research Interests

• My research focuses on various statistical methods for analyzing intensive longitudinal data that are measured over a handful of time points.  Examples of intensive longitudinal data include daily diary data obtained from chronic pain patients for 2 weeks and pupil dilation data obtained for several minutes during an experiment.  Traditional longitudinal data analysis methods have been developed for longitudinal data with a few time points. I am interested in extending traditional longitudinal data analysis methods to deal with intensive longitudinal data based on multilevel modeling, functional data analysis, spline models, and GSCA (generalized structured component analysis). 

• I am also collaborating with researchers in diverse fields of psychology (clinical, health, cognitive, social, organizational) providing consultation on data analysis and doing research in order to address various methodological issues.