Molei Liu

The paper develops three computational pipelines to analyze longitudinal saliva proteomics data and identifies significant differences in proteome dynamics between healthy controls and mitochondrial disease patients.

Population-stratified GWAS of 2,068 traits in 635,969 Million Veteran Program participants, 29% genetically non-European, yields 98,485 associations and 57,601 fine-mapped signals with largely shared cross-population architecture.

This paper optimizes the SAIGE algorithm using GPUs to accelerate GWAS on large datasets, achieving 20x speedup on the Million Veteran Program data.

The paper examines differential associations of the IL6R variant across genetic ancestries and identifies trait differences that may inform targeted therapies.

SCRIBE imputes dropout events and corrects batch effects in scRNA-seq data, improving recovery of cell-specific gene expression and biological variation.