Arthur Lui
Statistician
Los Alamos, New Mexico, United States
Summary
🤩
Rockstar🎓
Top SchoolArthur Lui is a statistician and PhD candidate specializing in Bayesian nonparametric models and variational inference, with 11 years of experience applying advanced probabilistic methods to large bio-science datasets. He currently models biomarker data with latent feature allocation techniques in collaboration with MD Anderson clinicians, and has repeatedly implemented and packaged models in Python, Julia, and R/RCpp for reproducible research and deployment. His background spans national labs and industry internships—Los Alamos, Lawrence Livermore, The Climate Corporation—where he built scalable statistical and online-learning solutions for massive simulation and agricultural datasets. A former Google Summer of Code contributor to the Turing.jl ecosystem, he blends research rigor with practical software engineering, often optimizing inference performance across probabilistic programming platforms.
11 years of coding experience
4 years of employment as a software developer
University of California Santa CruzBS / MS Statistics, BS / MS Statistics at Brigham Young University
English, Chinese
Github Skills (87)
probabilistic-programming10
mcmc10
bayesian-methods10
bayesian-inference10
markov10
artificial-intelligence10
distributions10
bayesian10
probabilistic-models10
flux10
bayesian-statistics10
probabilistic10
probabilistic-graphical-models10
markov-chain9
statistics9
Programming languages (14)
Github contributions (5)
luiarthur/test_gh_pages
Apr 2016 - May 2020
Contributions:2 PRs, 19 pushes, 1 branch in 4 years 1 month
luiarthur/kotlin_learning
Aug 2017 - Jan 2020
Contributions:112 pushes, 1 branch in 2 years 5 months
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