Katherine Hoffman
Statistical Consultant
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKatherine Hoffman is a PhD-level biostatistician and statistical consultant with nine years of experience applying advanced causal inference, spatial and survival methods to large clinical and public-health datasets. She has led multidisciplinary projects—from building a 20M-beneficiary Medicaid pipeline and TMLE implementations for pharmaceutical partners to directing respitory-virus research at the University of Washington with manuscripts under review in high-impact venues. Proficient in R, Python, UNIX, and reproducible workflow practices, she mentors junior analysts and bridges methodological development with practical implementation and visualization. Her background in biochemistry and hands-on patient care informs pragmatic study design and an eye for clinically relevant questions, and she has contributed production-quality code and unit tests to ensemble learning tools used in applied causal analyses.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at University of WashingtonMaster of Science Biostatistics, Master of Science Biostatistics at University of MichiganBachelor of Science Biochemistry, Bachelor of Science Biochemistry at University of Detroit Mercy
Spanish, English
Github Skills (18)
survival-analysis10
longitudinal-data10
causal-inference9
causal9
statistics8
policies8
superlearner8
r-package7
machine-learning7
parametric7
file-structure5
medicine2
shiny1
ensemble-learning1
markdown1
Programming languages (2)
Github contributions (5)
kathoffman/khstats-quarto
Sep 2022 - Dec 2022
Contributions:23 commits, 48 pushes in 3 months
kathoffman/causal-inference-visual-guides
Mar 2020 - Sep 2022
Contributions:4 releases, 69 commits, 60 pushes in 2 years 6 months
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