Songming Zhang

A set-aware latent transport model predicts treated cell populations from unpaired controls, keeps perturbation-specific signal in CRISPR, drug and cytokine data, and guided a cytokine choice tested in three donors.

The paper introduces mpTCRai, a deep learning framework that maps structural perturbations to energetic changes in TCRs, enabling precise and safe TCR design for immunotherapy.

STUltra integrates spatial transcriptomics data to map disease traits onto spatiotemporal tissue landscapes, outperforming existing methods in scalability and speed.

NeuroSort improves spike sorting by modeling neural dynamics, enabling efficient isolation of thousands of neurons across various recording conditions.