I am now a postdoctoral research fellow at Stanford University. I am broadly interested in Metabolomics, Multi-omics, Biostatistics, Systems Biology, and Bioinformatics, and their application in healthcare.
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.
🐶 🏫 🈸 😄 👊 ✊ 👪 🐼 🌏 🎉 🇨🇳
Chinese Academy of Sciences
Inner Mongolia University