Prof. Li's principal research interest focuses on inference of stochastic processes including long-range dependence and time series, in which nonparametric kernel estimations are explored to estimate regression, autoregressive, density, and heteroschadastic error variance functions. Additionally, she has strong interest in extending the nonparametric approaches to survival and longitudinal data analysis.