Xiaoyu Song
Associate Professor Of Biostatistics
New York, New York, United States
Summary
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Senior🎓
Top SchoolXiaoyu Song is an Associate Professor of Biostatistics with a decade of experience applying statistical and AI methods to omics and public health data, currently based in New York and hiring postdoctoral researchers in AI/statistics for omics analysis. Trained at Peking University and Columbia (DrPH in Biostatistics, MPH in Health Policy), she bridges clinical, policy, and computational perspectives from bench to population-level inference. Her academic trajectory includes research and faculty roles at Columbia and Mount Sinai before her current appointment at Duke‑NUS, reflecting a steady record of independent methodological and collaborative work. Xiaoyu’s background includes global health experience at WHO and industry exposure at Johnson & Johnson, informing pragmatic translational research. Colleagues note she combines rigorous biostatistical theory with hands-on computational implementation for high-dimensional biological data, often focusing on interpretable, reproducible pipelines.
10 years of coding experience
11 years of employment as a software developer
Doctor of Public Health, Biostatistics, Doctor of Public Health, Biostatistics at Columbia University in the City of New YorkBachelor of Medicine, Bachelor of Medicine at Peking UniversityProgramming languages (1)
Github contributions (5)
songxiaoyu/WEE
Nov 2016 - Dec 2022
Contributions:1 push, 1 branch in 6 years 1 month
songxiaoyu/MiXcan
Dec 2021 - Mar 2024
Contributions:1 release, 56 pushes, 2 tags in 2 years 3 months
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