I’m a postdoc fellow at Stanford, working with Michael Snyder on continuous glucose monitoring (CGM), personalized meal response, and time-series multi-omics profiling of chronic disease. I had my PhD at Institute of Bioinformatics at University of Georgia. I was advised by Edison Arthur S, Arnold Jonathan, and Heinz-Bernd Schüttler. I graduated from Nanjing University, where I worked on phylogenetics at the lab of Jianqun Chen and worked with Zhuqing Shao and Bin Wang. Before graduate school, I have worked with Ying Xu on TCGA data and Erez Lieberman Aiden.
I focused on how metabolic systems responds to intervnetions. During my postdoc, I studied how human responds to carbohydarte meals through CGM data, individualized postprandial glycemic response, and its asssocition with metabolic dysfunction and type 2 diabetes. My recent work produced multiple papers on physiology, prediction model, its links to habits, and processing methods. My graduate work focused on deconvoluting metabolic dynamics through novel network modeling and machine learning (Paper1, Paper2, Paper3), new automation NMR metabolomics deconvolution (Paper), and automatic phenotyping through neural networks (Paper1, Paper2). I’m also contributing and maintaining Metabolomics Toolbox.
I cochair the software and data group (SODA) of Metabolomics Association of North America (MANA). We have bi-monthly virtual meetup covering new computational methods and data regarding metabolomics.
github / CV / Google scholar / ORCID / Linkedin