Driving innovation at the intersection of genetics, environment, health, and methodological advances.
The Wedow Lab conducts interdisciplinary research to better understand the complex interplay between genes, environments, and health. We develop and apply advanced methodological approaches from statistical modeling to machine learning to analyze large-scale genetic and phenotypic data.
Core research areas
Data: Our lab works on harnessing big, high-dimensional phenotypic and genomic data. Some of our research involves integrating longitudinal and population-scale life course data with genetic data to investigate how environments shape outcomes across time and contexts.
Methods: The Wedow Lab is advancing genomic methodology by developing and applying innovative tools and techniques including AI and Machine Learning to improve the rigor, transparency, and applicability of genetics research.
Public Science: The Wedow Lab promotes public understanding of genetic research through science communication, outreach, and education.