Juliette Griffié

The paper develops an agent-based simulator to study how nanoscale protein clustering affects cellular signaling responses, showing that clustering can digitize signals and alter cell behavior.

SMLMFlow enhances structural resolution in single molecule localization microscopy by combining graph neural networks and hierarchical transformers with flow matching.

This study identifies 6S RNA's role in enhancing virulence gene expression in Yersinia pseudotuberculosis during intestinal colonization.

AI4CellFate predicts cell fate from microscopy timelapses using generative AI and contrastive learning, enabling early prediction with limited annotation.

Enso decodes bacterial cell cycle and cell type from static SMLM images using unsupervised deep learning without prior knowledge.

The paper introduces an agent-based model to simulate molecular aggregation at the plasma membrane, showing it can recapitulate observed distributions using simple rules.