Linying Ji’s research primarily focuses on developing and applying dynamic systems modeling and machine learning techniques to investigate sleep health in relation to psychological and physical health in the context of family and social systems. With a multidisciplinary background (MAS in Applied Statistics, PhD in Human Development and Family Studies) and training in psychology, statistics, behavioral health, and human development, she is interested in 1) developing better measurement of sleep health combining both objective measures and subjective reports, 2) examining environmental, sociocultural, behavioral, and biological factors that influence sleep health especially for vulnerable and underrepresented populations, and 3) modeling bi-directional relationship between sleep and other health outcomes. She is currently involved in multiple interdisciplinary projects addressing the interactions of sleep health, social forces, and cognition in older adults.