Shing Choi
Sr Mgr Statistical Genetics
Village of Scarsdale, New York, United States
Summary
👤
Senior🎓
Top SchoolShing Choi is a senior manager in statistical genetics with 12 years of experience building algorithms and open-source tools that translate genetic data into clinical risk prediction. Trained in bioinformatics (PhD, University of Hong Kong), he led development of widely used polygenic score software including PRSice-2 and PRSet and created EraSOR to correct sample overlap, bridging methodological rigor with production-ready implementations. After postdoctoral work at King’s College London and Mount Sinai, he moved into industry leadership at Regeneron, where he directs computational efforts to advance precision medicine. Known for publishing both software and practical guides to PRS, he combines deep statistical theory with hands-on software engineering and reproducible research practices.
12 years of coding experience
3 years of employment as a software developer
The University of Hong Kong (HKU)
English, Chinese
Github Skills (41)
reproducible-research10
r-package10
python10
gwas10
meta-analysis10
memory-mapped-file10
python-markdown9
markdown9
bioinformatics9
parallel-computing8
plink8
cromwell8
beta-testing8
r8
reproducible-science8
Programming languages (5)
Github contributions (5)
choishingwan/PRS-Tutorial
Apr 2019 - Jan 2023
A tutorial on how to run basic polygenic risk score analysis
Contributions:4 reviews, 175 commits, 5 PRs in 3 years 10 months
riskpython
choishingwan/PRSice
Aug 2016 - Oct 2022
A software package for calculating, applying, evaluating and plotting the results of polygenic risk scores
Contributions:54 releases, 2476 commits, 9 PRs in 6 years 3 months
pythonrisk-scoresriskscoresmeta-analysis
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