Systems / Integrative Aging

Understanding Aging as a Complex, Integrated System

The Systems / Integrative Aging program area addresses aging from a holistic, systems-level perspective.

We investigate the complex interactions between different biological levels – from molecules and cells to organs, organisms, and their environment – to build a comprehensive understanding of the aging process.

This requires integrating data and insights from multiple disciplines, including systems biology, computational biology, evolutionary biology, and artificial intelligence (AI).

Key Research Themes:

Cross-Organ Communication: Investigating how different organs interact and influence each other during aging.
Host-Microbiome Interactions: Examining the impact of the microbiome on host aging and health.
Functional Genomics & Epigenetics: Exploring the role of gene expression and epigenetic modifications in aging.
Epigenetic Clocks: Developing and utilizing epigenetic clocks as biomarkers of aging and predictors of healthspan.
Computational Modeling & AI: Utilizing advanced computational tools and AI to model aging processes, identify key drivers, and predict the effects of interventions.
Ecological and Environmental Factors: Investigating how aging responds to interactions between organisms and their environment.