been projected to exceed 20% by 2025, while in the US, the aged population is expected to double between 2010 and 2050 to reach 89 million. [2] However, the extension of lifespan has not necessarily been accompanied by a proportional increase in healthspan-the length of healthy lifeand the final 20% of human lifespan is commonly associated with some degree of morbidity. [1] As such, a focal point in aging research is the formulation of medical interventions that compress late-life morbidity. [1][2][3][4] One major challenge toward this aim is that the beneficial effects and efficacy of therapeutic treatments likely vary among individuals because of the heterogeneity of human aging. [2] For instance, human monozygotic twins show different lengths in lifespan, [5] discordance in the development of type I diabetes, [6] and even major variability in the size of organs. [7] Although the genetic and environmental influences on aging have been studied extensively, non-genetic and other stochastic factors affecting the aging process are much less well understood. As demonstrated in model organisms such as Caenorhabditis elegans, the aging process shows a high degree of variability among individuals sharing the same genetic and environmental background.In this study, we investigated population heterogeneity of the aging process using the model organism C. elegans. The nematode C. elegans is a small (≈1 mm in length) and fast Significant non-genetic stochastic factors affect aging, causing lifespan differences among individuals, even those sharing the same genetic and environmental background. In Caenorhabditis elegans, differences in heat-shock response (HSR) are predictive of lifespan. However, factors contributing to the heterogeneity of HSR are still not fully elucidated. Here, the authors characterized HSR dynamics in isogenic C. elegans expressing GFP reporter for hsp-16.2 for identifying the key contributors of HSR heterogeneity. Specifically, microfluidic devices that enable cross-sectional and longitudinal measurements of HSR dynamics in C. elegans at different scales are developed: in populations, within individuals, and in embryos. The authors adapted a mathematical model of HSR to single C. elegans and identified model parameters associated with proteostasis-maintenance of protein homeostasis-more specifically, protein turnover, as the major drivers of heterogeneity in HSR dynamics. It is verified that individuals with enhanced proteostasis fidelity in early adulthood live longer. The model-based comparative analysis of protein turnover in day-1 and day-2 adult C. elegans revealed a stochastic-onset of age-related proteostasis decline that increases the heterogeneity of HSR capacity. Finally, the analysis of C. elegans embryos showed higher HSR and proteostasis capacity than young adults and established transgenerational contribution to HSR heterogeneity that depends on maternal age.