I develop interpretable statistical and machine learning methods to connect molecular programs within cells, communication between cells, and tissue organization.

My work integrates single-cell and spatial multi-omics with tissue morphology, with a particular interest in how these systems change across space and time in aging and disease. More about my research.

Updates…

(Upcoming · Nov 8–11, 2026) I will present a poster at the Spatial Multi-Omics conference at HHMI’s Janelia Research Campus.

(2026 Sept) Our SpiderNet preprint, “A meta-interaction basis for cell-cell communication in tissues,” is available! It introduces an interpretable basis for tissue communication programs.

(2026 July) Our collaborative study, “Single-cell multiomics connects 3D genome and transcriptome alterations in Alzheimer’s disease,” is published in Science.

(2026 July) I presented SpiderNet at ISMB 2026 and received the RegSys Best Poster Award.

(2026 April) SpaNiche, our framework for spatial niche analysis of colocalization patterns and cellular interactions, is published in Genome Biology.

(2026 Feb) SpaHDmap, our interpretable multimodal framework for enhancing spatial transcriptomics resolution, appears in the February issue of Nature Cell Biology and is featured on the cover!

(2025 Nov) Our TissueNarrator preprint, “Generative Modeling of Spatial Transcriptomics with Large Language Models,” is available.

(2025 July) “A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity” appears in the proceedings of ICML 2025.

(2025 April) “Steamboat: Attention-Based Multiscale Delineation of Cellular Interactions in Tissues” appears in the proceedings of RECOMB 2025. The full preprint is also available.

(2025 April) Our benchmark of algorithms for spatially variable gene identification in spatial transcriptomics appears in the April issue of Bioinformatics.