Julian Gold

MOSAICField aligns spatial slices across modalities to reconstruct 3D tissue models and map morphology, outperforming existing methods on simulated and prostate cancer data.

DeST-OT aligns spatiotemporal transcriptomics data from developmental timepoints using optimal transport to model cell growth, death, and differentiation.

This paper introduces HM-OT to infer cell type differentiation maps from developmental transcriptomics time series by simultaneously clustering cells and learning transitions between cell types.