Andrew P. Gilmore

NexuST is a hierarchical foundation model for spatial transcriptomics that improves cell-type annotation and spatial prediction by integrating gene-level and cell-level modeling.

FluoroFate enables time-resolved single-cell analysis of cell fate by quantifying cell death dynamics using live-cell imaging and new biosensors.

The paper identifies a non-canonical Bcl-2 family interactome using proteomics, showing dynamic changes in response to apoptotic stimuli.

This paper develops a biomimetic polyurethane membrane that mimics lung alveolar tissue mechanics and supports long-term cell culture.

BioBatchNet corrects batch effects in imaging mass cytometry data using a dual-encoder framework, outperforming existing methods and showing generalizability to scRNA-seq data.

This study shows that increased ECM stiffness causes genomic damage in mammary epithelial cells through RhoA-dependent aldehyde metabolism changes.