Research Directions

1. Single-cell Metabolomics

Focusing on mass spectrometry-based metabolomics analysis for trace samples and single cells, enabling high-coverage metabolite profiling and discovery of hidden cellular heterogeneity.

2. AI in Omic Studies

Constructing prediction models for drug efficacy, pharmaceutical quality discrimination, and food safety risk assessment through the integration of multi-omics data and artificial intelligence.

3. Aging-related Diseases

Investigating the underlying mechanisms of aging-related diseases to develop potential therapeutic interventions based on metabolic pathways and biomarker discovery.