Publications
My name is shown in bold. † Equal contribution; * Corresponding author. Separate contribution groups are explained below.
2026
Spatial biology & multimodal programsA meta-interaction basis for cell-cell communication in tissues
SpiderNet learns directed communication programs that link sender regulators, ligand–receptor interactions, and receiver targets in a compact, interpretable representation.
Single-cell multiomics connects 3D genome and transcriptome alterations in Alzheimer’s disease
A collaborative study integrating genome structure, gene expression, and spatial context in human brain tissue.
SpaNiche: spatial niche analysis to explore colocalization patterns and cellular interactions in spatial transcriptomics data
Quantifying cellular neighborhoods to characterize tissue niches and patterns of spatial organization.
The interpretable multimodal dimension reduction framework SpaHDmap enhances resolution in spatial transcriptomics
Integrating histology and spatial expression measurements to identify interpretable gene modules and resolve tissue structure.
2025
Spatial interactions & statistical learningSteamboat: Attention-Based Multiscale Delineation of Cellular Interactions in Tissues
Benchmarking algorithms for spatially variable gene identification in spatial transcriptomics
A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity
TissueNarrator: Generative Modeling of Spatial Transcriptomics with Large Language Models
2024 & earlier
Gene networks & biological heterogeneitySingle-cell gene regulatory network analysis for mixed cell populations
A hierarchical graphical model jointly inferring cell populations and their gene networks.