Dylan Mann‐Krzisnik

SpatialJEPA transfers spatial context from spatial multiomics data to dissociated non-spatial data through graph-context distillation, improving alignment and recovery of spatially organized programs in mouse brain multiomics.

ECLARE integrates unpaired single-cell multi-omic data using multi-teacher contrastive learning, improving cell pairing accuracy and biological structure preservation in depression studies.

This study introduces moETM, a deep learning method for analyzing single-cell multi-omic data, and shows it identifies immune signatures and COVID-19 severity biomarkers.