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.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at Duke University
Bachelor's degree Statistics Economics, Bachelor's degree Statistics Economics at Renmin University of China
Contributions:67 commits, 63 pushes, 1 branch in 3 months
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