Principles for Precision Exposomics

Abstract

The exposome represents the totality of environmental factors that shape human health. Although exposomics has identified many associations between exposures and disease, interpreting how these exposures act across biological and physiological timescales remains a major challenge. Translating these effects into actionable, individualized recommendations is even more difficult. In Principles for Precision Exposomics, I develop frameworks that unify population-level and individual-level perspectives on how lifestyle and environmental exposures influence disease risk. At the population level, this thesis uses molecular and physiological readouts to contextualize exposure effects in biological pathways and disease-related processes. At the individual level, it uses wearable sensors and continuous glucose monitoring to model short-timescale physiological responses and support personalized prediction. Together, these frameworks advance precision exposomics by linking exposure signatures to interpretable biology and dynamic physiology, providing a foundation for improved monitoring, risk interpretation, and future personalized intervention strategies.