Shobana V. Stassen

MorphoGenie is an unsupervised deep-learning framework for morphological profiling of cells that learns interpretable, generalizable features without manual annotation or labeled data.

StaVia integrates spatial and temporal data with higher-order random walks to improve cell lineage analysis and visualization in developmental atlases.

VIA is a scalable trajectory inference method that accurately reconstructs complex cellular trajectories in large single-cell datasets, including cyclic and disconnected structures.

PARC is a scalable graph-based clustering algorithm for large single-cell datasets, outperforming existing methods in speed and rare population detection.