Mathini Vaikunthan

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.

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 introduces TRTL, a modular method for targeted single-cell transcriptomics that enables scalable, atlas-aligned, and clonotype-resolved analysis of user-defined transcript panels.

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.