Xiaotao Shen, Ph.D.

I am made up of choices


I am now a Ph.D. student in Interdisciplinary Research Center on Biology and Chemistry (IRCBC), Shanghai Institute of Organic Chemistry (SIOC), Chinese Academy of Sciences (CAS). I am broadly interested in Metabolomics, Analytical chemistry, Biostatictics, Systems biology and Bioinformatics.

My research focuses on the development of bioinformatic algorithms and tools for large-scale metabolomics as well as its application in discovering new biomarkers related to human diseases. I have developed several algorithms and tools in the past five years. The first algorithm was MetNormalizer, which is a machine learning-based algorithm for data normalization and integration of large-scale metabolomics. Then I developed a web-based tool, MetFlow, aiming to provide a comprehensive pipeline for data cleaning and statistical analysis of large-scale metabolomics. The most important algorithm I have developed is called MetDNA, which is a novel algorithm for metabolite identification and dysregulated pathway analysis in untargeted metabolomics.