Xiang Li work email
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Xiang Li personal email
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https://sites.google.com/site/spiritcoke/https://scholar.google.com/citations?user=Ja2LBVoAAAAJ&hl=en
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DirectorJohnson & Johnson Sep 2024 - PresentNew Brunswick, Nj, Us -
Associate DirectorJohnson & Johnson Apr 2021 - Nov 2024New Brunswick, Nj, Us -
Principal StatisticianJohnson & Johnson Oct 2018 - Apr 2021New Brunswick, Nj, Us -
Senior StatisticianJohnson & Johnson May 2017 - Oct 2018New Brunswick, Nj, Us -
Postdoctoral Research ScientistColumbia University Medical Center Oct 2014 - May 2017New York, New York, UsEstimation of network-structured high-dimensional data via regularization methods1. Solve L0-norm NP-hard program and develop R-package APML02. Study dynamic biomarker profile via varying coefficient model, R-package Coxnet3. Study casual effect via structural equation model -
StatisticianSingapore Eye Research Institute Nov 2010 - Sep 2014Application of Statistics Modelling in Medicine, Epidemiology and Genetics (i.e. Meta-analysis, Hierarchical Bayesian Approach, Item Response Theory)• Provide statistical consultation to advance the frontier of eye research (e.g. AMD, diabetic retinopathy and glaucoma).• Participate in Exome-chip analysis & Genome-wide Association Study and provide genetic statistical analysis.• Training and management of the team.
Xiang Li Skills
Xiang Li Education Details
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National University Of SingaporeStatistics -
University Of Science And Technology Of ChinaStatistics
Frequently Asked Questions about Xiang Li
What company does Xiang Li work for?
Xiang Li works for Johnson & Johnson
What is Xiang Li's role at the current company?
Xiang Li's current role is Director at Johnson & Johnson.
What is Xiang Li's email address?
Xiang Li's email address is sp****@****ail.com
What schools did Xiang Li attend?
Xiang Li attended National University Of Singapore, University Of Science And Technology Of China.
What skills is Xiang Li known for?
Xiang Li has skills like Statistics, R, Latex, Biostatistics, Machine Learning, Matlab, Data Mining, Statistical Modeling, Epidemiology, Spss, Data Analysis, Stata.
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