Ali Mohammed Pirani

This study uses spatial transcriptomics to identify ECM expression patterns in GBM, revealing region-specific adhesion and signaling networks in the tumor microenvironment.

This paper introduces a PCR-based method to measure bacterial growth rates during infection, showing it correlates with WGS-based methods and reveals UPEC growth dynamics in a mouse UTI model.

This paper introduces prewas, an R package that standardizes variant pre-processing for bacterial GWAS to improve reproducibility and interpretability of results.