Computational multi-omics lab in Singapore
Shen Lab @ NTU
Multi-omics, microbiome, metabolomics, and AI for precision health
🔬 RESEARCH
Our research is focused on the development of computational methods for the analysis of multi-omics data, with a particular emphasis on metabolomics and microbiome data. We are also interested in the application of these methods to precision medicine, aging, pregnancy, and other health-related areas.
Precision Medicine
Integrating omics, wearable, clinical, and microbiome data to support individualized prediction and intervention.
Metabolomics
LC-MS workflows, metabolite annotation, pathway interpretation, and metabolic signatures of health and disease.
Microbiome
Microbial community dynamics across body sites and their interactions with host metabolism.
Wearable
Longitudinal physiology, lifestyle signals, and digital biomarkers for dense personal health monitoring.
Aging
Multi-omics and wearable models for biological aging, aging-related diseases, and predictive biomarkers.
Pregnancy
Maternal and child health, pregnancy omics, preterm birth risk, and real-time physiological monitoring.
AI
Machine learning and interpretable AI for multi-layer biological data integration and prediction.
🖥️ SOFTWARE
TidyMassShiny
TidyMassShiny is a Shiny application that provides an interactive interface for the TidyMass project, enabling users to perform comprehensive …
TidyMicrobiome
TidyMicrobiome project is a comprehensive computational framework that can process the whole workflow of data processing and analysis for microbiome …
📃 PUBLICATION
Publication Summary
Publications Per Year
Citations Per Year
👥 TEAM
Xiaotao SHEN
Nanyang Assistant Professor
Research interests
- 🖥️ Bioinformatics
- 📱 Wearable
- 💰 Multi-omics
- 👴 Aging and Aging related diseases
- 🤰 Pregnancy and Pregnancy related diseases
Diyan LI
Visiting Scholar (2025-)
Yuanming YANG
Visiting Scholar (2025-)
Jingxiang ZHANG
Research Fellow (2024-)
Hua ZHAO
Visiting Scholar (2025-)
Yifei GE
PhD Candidate (2025-)
Chi Fang HSU
PhD Candidate (2025-)
Jiramet KINCHAGAWAT
PhD Candidate (2025-)
Yijiang LIU
PhD Candidate (2025-)
Yuting WANG
PhD Candidate (2025-)
Feifan ZHANG
PhD Candidate (2025-)
Shuli ZHANG
Visiting PhD Student (2026-2027)
Kajal AGRAWAL
PhD Candidate (Co-supervised with Prof. Sunny Wong)
Research interests
- 🧫 Oral and Gut Microbiome
- 🦷 Periodontal Disease, Oral systemic disease
- 🌱 Population Health
- 🔬 Translational Research
Xiaoyu XU
PhD Candidate (Co-supervised with Prof. Kun Qian)
