Joanne Beer
Biostatistics Senior Scientist II
Fremont, California, United States
Summary
👤
Senior🎓
Top SchoolJoanne Beer is a Biostatistics Senior Scientist with 11 years of experience applying advanced statistical and machine learning methods to high-dimensional biomedical data, currently leading analytic efforts at Alamar Biosciences. She specializes in assay normalization, automated analysis pipelines, and interactive data visualization—having helped design R Shiny apps and custom Galaxy tools to streamline QC and secondary analysis. Her academic work includes developing longitudinal ComBat for harmonizing multi-site neuroimaging studies and releasing the longCombat R package, demonstrating both methodological rigor and production-ready software. Joanne combines deep domain knowledge in dementia and clinical trials with hands-on engineering of reproducible workflows, and she has a track record of translating complex longitudinal studies into actionable insights.
11 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.) Biostatistics, Master of Science (M.S.) Biostatistics at Oregon Health & Science UniversityBachelor of Science (B.S.) Biochemistry, Bachelor of Science (B.S.) Biochemistry at Portland State UniversityDoctor of Philosophy (PhD) Biostatistics, Doctor of Philosophy (PhD) Biostatistics at University of Pittsburgh
Github Skills (3)
longitudinal-data10
r-package10
r9
Programming languages (1)
Github contributions (5)
jcbeer/longCombat
Dec 2019 - Jun 2022
R package to implement longitudinal ComBat: A method for harmonizing multi-batch longitudinal data
Contributions:5 releases, 63 commits, 1 PR in 2 years 6 months
longitudinal-datarr-package
jcbeer/predictiveViz
Aug 2018 - Aug 2018
Contributions:41 commits, 35 pushes, 1 branch in 3 days
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