Joverlyn D. Gaudillo

The paper introduces taxon-in-context to capture individualized microbial context in the human gut microbiome, showing that microbes occupy different contexts across individuals and over time, improving recurrence prediction.

This paper introduces a machine learning-based SNP-set analysis approach to identify disease-associated susceptibility loci using GWAS data and random forest clustering.