Yanling Li

Yanling Li is an Assistant Research Professor at Pennsylvania State University. Her work focuses on dynamic modeling, Bayesian statistics, missing data imputation, and applications in psychological processes and public health. She has contributed to methodological advancements in handling longitudinal data and spatial analysis through open-source software like GPS2space and dynr.mi.

Research interests include developing statistical frameworks to address challenges in multilevel and time-series data, with applications in mental health, substance use, and intervention studies. Her recent work emphasizes regime-switching models, zero-inflated distributions, and ecological momentary assessments.

No scientific awards have been listed. Her research has been applied across disciplines, including public health and environmental studies, leveraging both R and Python tools. No advising or grant information is provided in the text.