Geena V. Ildefonso

The paper develops an integrated Boolean-ABM framework to study how CD8+ T cell properties affect tumor composition, spatial organization, and immune checkpoint blockade efficacy.

The paper introduces PyDyNo, a framework to identify dominant reaction paths in biochemical networks using Bayesian parameter optimization, revealing distinct signal execution modes in apoptosis and JAK2/STAT5 networks.

The paper uses a Boolean model to analyze gene regulatory interactions in CD8+ T cell exhaustion, identifying gene expression states and pathways leading to T cell exhaustion.

This study shows SCLC cells exist in a continuum of plastic states rather than discrete subtypes, with gene expression patterns linked to cancer hallmarks and potential therapeutic targets.