Marlena Bannick
Biostatistician III
Seattle, Washington, United States
Summary
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Top SchoolMarlena Bannick is a Biostatistician III and PhD candidate in Biostatistics at the University of Washington with eight years of experience applying statistical methods to clinical trials, population health, and disease modeling. She currently supports cell and gene therapy trials at Seattle Children’s, bringing prior experience developing methods for HIV prevention trials and engineering disease-modeling software at IHME. Trained in rigorous biostatistics and fluent in R and Python, she bridges methodological research, software design, and high-performance computing to make analyses reproducible and production-ready. Known for clear communication with diverse stakeholders, she translates complex data science into actionable decisions for clinical teams. An unusual strength is her combined background in global health/anthropology and quantitative modeling, which informs pragmatic, equity-aware study design.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of WashingtonUniversity College London
English, Spanish
Github Skills (31)
nonlinear10
euler10
hierarchical10
shaderlab10
curve-fitting10
morph10
curve10
abaqus10
randomization8
meta-analysis8
stochastic7
modeling6
nonlinear-optimization6
volatility6
machine-learning6
Programming languages (4)
Github contributions (5)
mbannick/mbannick.github.io
Aug 2020 - Dec 2024
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:77 pushes, 1 branch in 4 years 5 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
ihmeuw-msca/CurveFit
Mar 2020 - Jun 2020
Generic curve fitting package with nonlinear mixed effects model
Contributions:2 releases, 186 commits, 60 PRs in 3 months
nonlineareulermixed-effectscurve-fittinggeneric
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