Shunzhou Jiang

The paper models infant BMI trajectories using flexible methods to identify individual and population-level patterns, finding sex differences and associations with maternal gestational diabetes.

COSIE is a computational framework that integrates multiple spatial omics modalities to generate high-resolution molecular landscapes, outperforming existing methods across diverse datasets.

Pixel2Gene improves spatial gene expression reconstruction and prediction by integrating histology images with spatial transcriptomics data.

REMAP reconstructs spatial tissue architecture from scRNA-seq using deep learning and ST references, revealing microenvironmental features and cancer subtypes.

The paper uses spatial single-cell analysis to uncover molecular and structural development of human fetal cortex, revealing early layer and area specification.