The focus of her work has been on developing and testing longitudinal and dynamic models, including differential equation models, time series models and state-space models. She has developed novel methods that serve as practical alternatives for addressing common data analytic problems (e.g., Bayesian variable selection methods for factor analysis and structural equation models, nonparametric approaches, missing data, and nonlinearities/nonstationarities in dynamics). She has also collaborated with scholars in emotion, aging, child development, family dynamics and prevention research to bring newer methodological developments to these areas. She is a winner of the Cattell Award from the Society of Multivariate Experimental Psychology (SMEP) as well as the Early Career Award from the Psychometric Society.