Robert Lowell Davis

This paper uses IBD-based clustering to reveal environmental and health disparities across subcommunities in a biobank dataset.

The paper analyzes genomic data from a diverse cohort to highlight genetic diversity and disparities in disease prevalence linked to ancestry and environment.

This study develops machine learning models to predict sepsis onset using real-time physiological data and white blood cell counts, achieving early detection up to 3.5 hours before symptoms.