Jiaying Gu
Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolJiaying Gu is a data scientist with 10 years of experience, currently applying advanced statistical and machine learning methods at Google in the San Francisco Bay Area. She holds a Ph.D. in Statistics from UCLA and combines strong theoretical grounding with practical skills in R, Python, LaTeX, and reproducible analysis. Her background includes teaching Bayesian and mathematical statistics, which informs clear communication of complex models to technical and non-technical audiences. Earlier roles in algorithmic trading and consulting sharpened her abilities in signal processing, backtesting, data cleaning, and automation. She brings an academic rigor to production problems, translating statistical insight into scalable, performant solutions.
10 years of coding experience
Bachelor's degree Computational Mathematics, Bachelor's degree Computational Mathematics at Fudan UniversityUniversity of California, Los Angeles
Chinese, English
Github Skills (9)
bayesian-network8
bayesian6
regularization5
graphical-models3
statistics3
r3
julia2
sparse2
machine-learning2
Programming languages (1)
Github contributions (5)
gujyjean/discretecdAlgorithm
Jun 2016 - Mar 2020
Contributions:5 releases, 84 commits, 7 PRs in 3 years 9 months
structure-learningbayesian-networkdiscretelearning-algorithmbayesian
gujyjean/sparsebnUtils
Jun 2016 - Apr 2017
Contributions:11 pushes, 3 branches in 9 months
sparsebayesian-networkssparse-bayesian-learningjuliabayesian
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