Xiaodian Sun

This paper introduces a geometric framework for agentic reasoning on curved manifolds, showing improved performance in a tissue repair task compared to flat-space methods.

The paper introduces a unified model for biological prediction that integrates geometry, mechanism, and causal structure, achieving lower error than Euclidean and local graph baselines in synthetic studies.

This paper introduces a mechanotransduction-aware causal omics framework to identify disease genes in mechanically active tissues by modeling mechanotransduction as part of the causal structure rather than a secondary covariate.

pathwayPCA is an R package that performs integrative pathway analysis with modern PCA methods and gene selection, enabling multi-omics data analysis and sample-specific pathway activity estimation.