Xiaotao Shen

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.