Yunran Chen

Senior Statistician

Waltham, Massachusetts, United States
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Summary

👤
Senior
🎓
Top School
Yunran Chen is a Senior Statistician with eight years of experience and a PhD in Statistics from Duke University, now applying advanced Bayesian and nonparametric methods at AstraZeneca. She specializes in interpretable statistical modeling, with active research in covariance estimation and quantile regression and a track record of applied collaborations with neuroscientists. Yunran combines strong technical depth in Bayesian nonparametrics with practical communication skills honed through teaching, mentoring, and interdisciplinary research. Based in Waltham, MA, she is drawn to complex, domain-transcendent problems and brings a measured focus on explainability that helps translate sophisticated methods into actionable insights. An understated but telling detail: her work habitably bridges theory and practice, reflecting both rigorous academic training and experience delivering results in collaborative, applied settings.
code8 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at Duke University
bookBachelor's degree Statistics Economics, Bachelor's degree Statistics Economics at Renmin University of China
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Github Skills (17)

gitbook7
latex7
bookdown6
sta5
rmarkdown5
epub5
markdown4
html4
bayesian3
inference2
css2
javascript2
bayesian-inference2
react2
julia2

Programming languages (3)

RJavaScriptHTML

Github contributions (5)

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YunranChen/oldweb

Jul 2018 - Jun 2022

Contributions:50 pushes, 6 branches in 4 years
YunranChen/STA650Lab

Jan 2019 - Apr 2019

Lab materials of STA650/450 Social Network.
Contributions:67 commits, 63 pushes, 1 branch in 3 months
social-networklab-materialslab
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