Fei Zhou is a Senior Statistician with a Ph.D. in Statistics and eight years of experience applying advanced variable selection methods to high-dimensional biomedical data. Based in the New York City area and currently at AbbVie, Fei combines rigorous academic research—multiple publications on novel statistical methods—with practical software engineering in R (including C++ integration), R Shiny, SAS, SQL, and Python. Fei’s background in biology and biomedical sciences gives a rare interdisciplinary edge for translating statistical innovation into actionable biostatistical analyses and tools. Known for developing computational tools alongside methodological work, Fei is seeking roles in biostatistics, data science, or quantitative analysis where methodological depth and production-ready code meet.
8 years of coding experience
Bachelor's degree, Biology/Biological Sciences, General, Bachelor's degree, Biology/Biological Sciences, General at University of Science and Technology of China
Master's degree, Biomedical Sciences, Veterinary, Master's degree, Biomedical Sciences, Veterinary at Kansas State University
Sparse Group Variable Selection for Gene-Environment Interactions in the Longitudinal Study
Contributions:14 commits, 19 pushes, 1 branch in 2 years 6 months
sparseselectionvariable-selectiongeneinteractions
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