Ellen Graham
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolEllen Graham is a Biostatistics PhD candidate at the University of Washington with eight years of experience applying advanced statistical methods to clinical and public-sector problems. Her research focuses on causal inference, data fusion, and nonparametric/semiparametric methods, informed by hands-on work analyzing measurement error in cystic fibrosis trials and clustering for longitudinal health data. She has taught graduate and undergraduate courses in statistical inference, regression for dependent data, and computational linear algebra, combining pedagogical clarity with rigorous methodology. Ellen also consults on data-driven solutions for local governments and NGOs, bringing academic rigor to real-world policy and public health challenges. Based in Seattle, she blends strong theoretical training with practical implementation, often exploring how bias correction and fusion techniques improve the reliability of clinical and population-level inferences.
8 years of coding experience
University of Washington
Github Skills (13)
categorical-data3
markov3
hidden3
r-programming3
principal-component-analysis2
r2
time-series2
categorical2
data-storage2
simulations1
statistics1
statistical-models1
statistical-learning1
Programming languages (4)
Github contributions (5)
heggesethlab/ClusterLongCat-mirror
May 2019 - Jul 2019
Contributions:270 commits, 3 pushes in 2 months
grahamammal/comp225-server
Mar 2019 - Nov 2019
Contributions:87 pushes, 4 branches in 7 months
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