Academic Profile : Faculty
Asst Prof Xiaotao Shen
Assistant Professor of Microbiome Medicine, Lee Kong Chian School of Medicine
Assistant Professor, Lee Kong Chian School of Medicine
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Dr. Xiaotao Shen serves as an Assistant Professor at the Lee Kong Chian School of Medicine, Nanyang Technological University in Singapore. He completed his PhD in metabolomics and bioinformatics at the Chinese Academy of Sciences (CAS) in Shanghai, China, in December 2018. Following his PhD, he undertook postdoctoral training at Stanford University under the guidance of Prof. Michael Snyder starting in April 2019. His postdoctoral research primarily centers on the integration of multi-omics data and its applications in precision medicine. Dr. Shen has a broad interest in the development of bioinformatics algorithms for multi-omics data, aimed at advancing precision medicine. His specific research interests include developing bioinformatics algorithms for comprehensive analysis workflows and deep learning for LC-MS data, metabolic network analysis, and the integration of wearable and multi-omics data, as well as microbiome and metabolome data integration.
Furthermore, Dr. Shen utilizes these bioinformatics algorithms in a systems biology approach to explore potential biomarkers and mechanisms related to pregnancy and associated diseases, as well as aging and its related diseases.
Furthermore, Dr. Shen utilizes these bioinformatics algorithms in a systems biology approach to explore potential biomarkers and mechanisms related to pregnancy and associated diseases, as well as aging and its related diseases.
Bioinformatics, Multi-omics, Microbiome, Metabolomics, Aging and aging-related diseases, Maternal and Child Health
- Decoding the Comprehensive Interactions Between Gut Microbiome and Metabolome in Human Aging and Aging-Related Diseases
Awards
Young Investigator Award, The 3rd Chinese American Society For Mass Spectrometry Conference (2023)
SPORR 2023 Rigor and Reproducibility Award, Stanford Program on Research Rigor and Reproducibility (2023)
Winner Selected by the Event Committee, Exposome Data Challenge Event (2021) Student Travel Award for Oral Presentation, The International Metabolomics Society (2018)
International Conference Travel Award, The Metabolites Journal (2018)
China National Scholarship, Ministry of Education of the People’s Republic of China (2017)
Award for Outstanding Youth Report, The 3rd China MS Analysis Conference (2017)
Award for Outstanding Youth Report, The 34th China MS Society Conference (2016)
SPORR 2023 Rigor and Reproducibility Award, Stanford Program on Research Rigor and Reproducibility (2023)
Winner Selected by the Event Committee, Exposome Data Challenge Event (2021) Student Travel Award for Oral Presentation, The International Metabolomics Society (2018)
International Conference Travel Award, The Metabolites Journal (2018)
China National Scholarship, Ministry of Education of the People’s Republic of China (2017)
Award for Outstanding Youth Report, The 3rd China MS Analysis Conference (2017)
Award for Outstanding Youth Report, The 34th China MS Society Conference (2016)