Rebecca Hubbard
Professor Of Biostatistics And Data Science
Providence, Rhode Island, United States
Summary
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Senior🎓
Top SchoolRebecca Hubbard is a Professor of Biostatistics and Data Science with nine years of senior academic experience and a decades-long track record applying and developing statistical methods for messy real-world data like EHRs and claims. She designs methods to handle informative observation, phenotyping error, and confounder error/missingness, translating methodological advances into impact across health services research, cancer epidemiology, aging and dementia, and pharmacoepidemiology. A PhD-trained biostatistician with advanced degrees from Oxford and Edinburgh, she blends rigorous theory with collaborative applied work at leading institutions including Brown and Penn. Notably, her research focuses less on idealized datasets and more on making routinely collected clinical data reliable and generalizable for causal and epidemiologic inference.
9 years of coding experience
16 years of employment as a software developer
PhD, Biostatistics, PhD, Biostatistics at University of WashingtonMS, Applied Statistics, MS, Applied Statistics at University of OxfordMS, Epidemiology, MS, Epidemiology at The University of EdinburghBS, Ecology and Evolution, BS, Ecology and Evolution at University of Pittsburgh
Github Skills (3)
genetic5
python3
machine-learning2
Programming languages (1)
Github contributions (5)
rhubb/rhubb.github.io
Aug 2019 - Aug 2022
Contributions:111 commits, 119 pushes, 1 branch in 2 years 11 months
rhubb/SISCR2017
Jun 2017 - Jul 2017
Contributions:38 commits, 33 pushes, 1 branch in 1 month
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