Phil Boonstra
Associate Professor
Ann Arbor, Michigan, United States
Summary
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Top SchoolPhil Boonstra is a tenured Associate Professor of Biostatistics at the University of Michigan with eight years of faculty experience and a longer trajectory through research ranks at the same institution. He teaches biostatistics and R with enthusiasm, collaborates closely with clinicians and scientists, and focuses his applied research on ECMO and early-phase oncology trials. Phil combines rigorous methodological training (PhD, MS in Biostatistics) with practical coding craftsmanship—he writes tidy R code intended for reproducible research. Based in Ann Arbor, he is equally comfortable mentoring students and contributing to complex clinical study designs, bringing a rare blend of classroom pedagogy and hands-on trial methodology to translational medicine.
7 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of MichiganHigh School Diploma, High School Diploma at Calvin Christian SchoolBachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Calvin University
Stackoverflow
121reputation
156reached
1answer
1question
Github Skills (25)
probability10
r-package10
feature-selection10
statistics10
indices10
r-language10
biostatistics8
historical8
bayesian7
interaction6
survival6
r6
development-environment5
ide5
package-development4
Programming languages (3)
Github contributions (5)
psboonstra/markdown-workshop
Jul 2019 - Jun 2024
Contributions:21 pushes, 1 branch in 5 years
umich-biostatistics/adaptBayes
Oct 2019 - Aug 2022
R package for Boonstra, Philip S. and Barbaro, Ryan P., “Incorporating Historical Models with Adaptive Bayesian Updates” (2020) Biostatistics 21, e47--e64
Contributions:27 commits, 19 PRs, 23 pushes in 2 years 10 months
r-packageadaptiverstatsupdateshistorical
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