Zheming An

Combining model-based and data-driven models: an application to synthetic biology resource competition

This paper combines mechanistic and machine learning models to address resource competition in synthetic biology, demonstrating improved predictions and physical consistency.

Somatic mutation in human cerebellum illustrates neuron type-specific patterns of age-related mutation

The paper analyzes somatic mutations in cerebellar granule neurons and finds distinct mutation patterns compared to other neuronal types, suggesting links to cancer origins and neurodegeneration.

Resolving the molecular niche of pulmonary fibrosis using cryopreserved human precision cut lung slices

This study uses single-cell spatial transcriptomics on cryopreserved human lung slices to identify molecular features of pulmonary fibrosis niches and their associated signaling pathways.

A Unified Model for Entrainment by Circadian Clocks: Dynamic Circadian Integrated Response Characteristic (dCiRC)

The paper develops a unified model, dCiRC, to predict circadian entrainment phase by integrating parametric and non-parametric aspects of circadian clock responses to light.