Xiangping Lin, Ph.D., is a Postdoctoral Scholar at Stanford University. He received his Ph.D. in Chemistry from Sorbonne Paris North University, Paris. Dr. Lin’s research focuses on analytical chemistry, especially mass spectrometry (Orbitrap, Q-TOF, QqQ) and NMR-based omics studies. These include, but are not limited to, metabolomics, exposomics, lipidomics, and the application in biomedical and environmental research, such as metabolism, liver disease, cancer, environmental chemicals exposure biomarkers. In addition, he has extensive experience in multivariate statistics (PCA, PLS-DA, et cetera.), variable selection (logistic regression, LASSO regression, et cetera.), and R programming.
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PhD in Chemistry, 2020
Sorbonne Paris North University
MSc in Nutritional sciences, 2015
Université Clermont Auvergne
BSc in Cell Biology and Physiology, 2013
Université Blaise Pascal (Clermont-II)
6 years + experience in Analytical chemistry, using LC-MS, GC-MS and NMR.
6 years of experience in Multivariate statistics.
3 years of experience using R.