This study aims to understand how sleep and circadian rhythm, affective style, and socioecological systems explain psychological resilience as a trait. Data from this study will be integrated to develop resilience models using advanced mathematical techniques, such as deep learning, that are useful for predicting mental wellness. Ultimately, results from this project will be critical for the early identification of risk factors of stress-related disorders.