We aim to develop signatures of physical resilience in older adults who will undergo clinical stressors; validate the signatures’ability to distinguish those who will, or not, respond resiliently, and characterize underlying physiobiological determinants. This presentation describes the study conceptualization and design. The underlying physiology is conceptualized as a dynamical system, and resilience, as a property thereof. A pilot/confirmatory study has been initiated with branches addressing three clinical stressors. Resilience signatures will be grounded in dynamical data from multiple stress-response assessments; many other markers are being collected. We propose a data analytic strategy to build signatures, and evaluate their success predicting both shortand long-term responses to stressors, with both dataand theory-driven elements. If successful, our study will generate new means to identify individuals with impaired resiliency to stressors, deepen knowledge of age-related biological changes that impair stress-response, and open the way for novel interventions to bolster resiliency.