Ross M. Giglio

The paper uses in vivo single-cell CRISPR screens to study how tumor suppressor loss and genetic perturbations affect glioma states and immune recruitment in mice.

SHERLOCK is a deep generative framework for single-cell perturbation analysis that learns interpretable perturbation representations and enables causal analysis of downstream effects.

This study uses single-cell transcriptomics to analyze how diverse SHP2 variants affect gene expression and cellular phenotypes in relation to disease.

The paper develops a CRISPR screening framework to map kinase-dependent immune evasion mechanisms in glioblastoma by integrating single-cell transcriptomics and deep generative models.

The paper profiles molecular responses to HDAC inhibitors in diverse cell lines, revealing heterogeneous protein remodeling and cell-type specific effects.

This study uses SCHEMATIC to analyze the molecular response of glioblastoma to EGFR inhibitors, identifying chemotype-specific programs and showing that combined EGFR/PI3K inhibition reduces adaptive transcription.