Welcome to CSSB Laboratory Webpage
Welcome to CSSB Laboratory Webpage
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
Latest News
9 January 2026: Check out our preprint describing MRMhub tool on BioRxiv. Data processing for LC-MRM lipidomics data for thousands of samples can be achieved in a matter of minutes!
7 January 2026: A paper describing bulk-level transcriptomic and metabolomic profiles in human liver tissues across an early spectrum of MASLD progression is out on eLife, with credit due to Dr. Lexie Zhao from our team, Dr. Will De Nardo from University of Melbourne and the guidance from Philipp Kaldis, Matthew Watt and Volker Lauschke.
7 January 2026: A comprehensive review paper by Dr. Zhao and colleagues summarizing recent applications of metabolomics in CVD research is available in Expert Review of Proteomics.
15 December 2025: Graphical model estimation in ultrahigh dimensional space (up to a million variables) is possible now on HPC or GPU-equipped environments: HP-ACCORD. Check out our innovative work by Dr. Sung-Dong Lee and all on Annals of Applied Statistics.
1 October 2025: We have uploaded more powerful versions of our targeted MRM processing software MRMhub and untargeted MS-based metabolomics/lipidomics data processing suite MetaboKit. Credit to Drs. Guoshou Guo and Bo Burla from Singapore Lipidomics Incubator.
1 December 2024: Check out our new iOmicsPASS+ software for network-based multi-omic integration and classification, by former CSSBLab family member Dr. Hiromi Koh.
HC is an associate editor at Molecular Omics -- feel free to discuss submission of your manuscript. We are looking for reviews and research articles in novel multi-omics integration approaches.