Justin Williams

Senior Quantitative Analyst

Fullerton, California, United States
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Summary

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Senior
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Top School
Justin Williams is a Senior Quantitative Analyst with nine years of experience applying advanced biostatistics and predictive modeling to sports analytics, currently driving data-driven decision making for the Los Angeles Dodgers. He holds a Ph.D. and M.S. in Biostatistics from UCLA and a BA in Mathematics from Boston College, blending rigorous academic training with practical industry internships at Genentech and Alcon. At the Dodgers he progressed from Quantitative Analyst to senior role, translating complex statistical methods into actionable insights for team performance and strategy. His background includes academic research and teaching, giving him a strong foundation in experimental design and reproducible analysis. Known for combining domain expertise in biostatistics with a passion for problem solving, he often bridges analytical depth and operational impact in fast-paced environments. An early career pivot from youth education to analytics hints at strong communication skills and a pragmatic approach to turning data into change.
code9 years of coding experience
job7 years of employment as a software developer
bookBachelor of Arts (BA), Mathematics, Bachelor of Arts (BA), Mathematics at Boston College
bookUniversity of Minnesota Twin Cities
bookMathematics, Mathematics at Universidad San Francisco de Quito
bookDoctor of Philosophy (PhD), Biostatistics, Doctor of Philosophy (PhD), Biostatistics at University of California, Los Angeles - Fielding School of Public Health
languagesSpanish, English
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Github Skills (29)

truncated9
normal-distribution9
arxiv9
normal8
renv8
texlive8
sampling7
quarto7
latexmk7
latex7
causal7
languagetool6
overleaf6
beamer6
amazon5

Programming languages (4)

RTeXHTMLPython

Github contributions (5)

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williazo/microbiomeDASim

Aug 2019 - Mar 2020

Contributions:2 releases, 44 commits, 41 pushes in 7 months
williazo/tcensReg

Oct 2018 - Dec 2020

tcensReg is a package written to obtain maximum likelihood estimates from a truncated normal distribution with censoring.
Contributions:171 commits, 4 PRs, 128 pushes in 2 years 3 months
maximumstatisticshypothesis-testingmaximum-likelihoodnormal
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Justin Williams - Senior Quantitative Analyst