Sylvia Herter

scifAI provides an open-source framework for analyzing imaging flow cytometry data to predict antibody function and characterize immunological synapses.

scROSHI identifies cell types without training data by using pre-existing gene sets and hierarchical relationships, outperforming methods in low-data and high-diversity scenarios.

SCIM matches single-cell measurements across technologies by learning a technology-invariant latent space and applying bipartite matching, achieving high accuracy in real-world datasets.