Our group investigates prenatal and early-life determinants of health and disease. We conduct epidemiological analyses of human cohorts to investigate chemical (e.g. metals, endocrine disruptors, air pollution, climate change) and non-chemical stressors (e.g. adversity, discrimination) and their relationships to human health and development. We use computational and bioinformatics approaches to study epigenetic and DNA methylation biomarkers in humans. Our group also has a special interest in human aging and epigenetic biomarkers of aging.
Trainees in our group develop skills in computational biology, environmental mixtures modeling, modeling of multi -omic data and machine learning.