About Us

At the Human Phenome Research Group, our goal is to systematically characterize human phenotypic diversity and understand its biological basis and implications for health and disease. We take a computational and data-driven approach by developing scalable phenotype quantification frameworks, integrating advanced statistical modeling and artificial intelligence, and leveraging large-scale population and multi-omics data resources. Our research spans multiple dimensions of human phenotypes, including skin appearance, imaging-derived traits, aging processes, and environmental exposures. We currently focus on the following research directions:

1. Quantification of human phenotypes
Developing robust and reproducible computational methods to quantify skin, imaging-based, aging and exposure-related phenotypes from high-dimensional data.

2. Genetic, environmental, and molecular determinants of phenotypic variation
Modeling how genetic variation, environmental exposures, and multi-omics mechanisms jointly shape individual phenotypic differences.

3. Aging, health risk prediction, and population heterogeneity
Constructing interpretable aging metrics and predictive models to link phenotypic variation with disease risk, mortality, and personalized health management.