Shurjo Kumar Sen

The paper describes AnVIL, a cloud-based platform that enables genomic data analysis without data transfer, improving security, scalability, and collaboration.

The paper introduces an acoustic lysis method that improves microbiome sequencing by reducing lysis-induced noise and increasing diversity detection.

The paper uses machine learning to identify SNPs predictive of advanced coronary artery calcium in two cohorts, finding that SNPs from extreme cases outperform those from prior GWAS.