We develop computational and statistical solutions for the analysis of high-dimensional molecular data in various contexts of biomedical research. Our research topics include
Network inference and interpretable integration of multi-omics data in biological experiments and clinical studies
Harmonizing information between bulk omics data and single cell-level omics data
Mapping molecular changes between tissues and circulation in biomarker discovery for cardiovascular & metabolic diseases
Application of sequencing and mass spectrometry-based omics technologies in clinical and food science research
Development of novel informatics tools for mass spectrometry (MS) data processing in metabolomics, lipidomics and proteomics
CSSB Laboratory is a member of Cardiovascular Metabolic Diseases Translational Research Programme (CVMD TRP), Yong Loo Lin School of Medicine (NUS Medicine), and Singapore Lipidomics Incubator (SLING), Life Sciences Institute (LSI), National University of Singapore.