Shintaro Yuki

MUSE integrates multi-omics data across species to align cellular states while preserving species-specific features and regulatory module conservation.

UNISON is a scalable framework for single-cell transcriptomics that uses skip-zeros variational inference to efficiently analyze large, sparse datasets while preserving interpretability.

scTREND is a hazard model that estimates cell-level risk across time and conditions without cell-type annotations, showing improved prediction in simulations and applications to cancer and COVID-19.