Research Expertise: Biomedical Informatics, Big Health Data (such as Electronic Health Records) Mining, Natural Language Processing, Biomolecular Network Modeling, Personalized Nutrition, and Multi-omics Data Analysis and Integration.
Specifically, through algorithm development for analyzing multi-dimensional big health data:
1. To discern disease subtypes, parse their underlying genetic bases, and design subtype-specific, personalized nutrition interventions.
2. To describe comorbidity patterns, build risk prediction models, and search for the optimal combinations of drugs and nutrients.