Huaying Fang
Postdoctoral Fellow at Stanford University
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolHuaying Fang is a postdoctoral fellow at Stanford University with a PhD in Statistics from Peking University and a decade of experience applying quantitative methods to biology. Her research develops statistical and computational models to map the genetic architecture of complex traits, with a strong emphasis on multi-modal integration and trans-ethnic evidence to improve outcomes for minority populations. She began her work studying microbiota interactions and now aims to reconstruct the biological networks underlying quantitative traits and complex diseases. Based in the San Francisco Bay Area, she combines rigorous mathematical training with applied genomics to translate statistical insights into more equitable biomedical knowledge. An interdisciplinary thinker, she focuses on methods that bridge population diversity and molecular complexity—efforts that are likely to advance precision medicine for underrepresented groups.
10 years of coding experience
Bachelor's degree, Statistics, Bachelor's degree, Statistics at Wuhan UniversityDoctor of Philosophy - PhD, MATHEMATICS AND STATISTICS, Doctor of Philosophy - PhD, MATHEMATICS AND STATISTICS at Peking UniversityProgramming languages (2)
Github contributions (5)
fkwai/geolearn
Oct 2019 - Feb 2023
Contributions:488 commits, 357 pushes, 7 branches in 3 years 4 months
mhpi/hydroDL
May 2018 - Sep 2019
Contributions:49 commits, 2 PRs, 4 pushes in 1 year 3 months
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