Helen Miller is a research-focused quantitative ecologist and software-savvy data scientist with eight years of experience applying statistical modeling, reproducible workflows, and open-source tools to ecosystem and resource management problems. Currently finishing a Master's in Quantitative Ecology and Resource Management at the University of Washington and working as a Research Assistant, she brings practical bioinformatics and data-engineering experience from roles at Fred Hutch and Mazama Science—specializing in RNA-seq processing, R package development, and near-real-time environmental data systems. Helen combines rigorous computational skills with strong communication and cross-disciplinary collaboration, routinely partnering with biologists and statisticians to build well-documented, reproducible analysis pipelines. Based in Seattle, she’s driven by open science principles and has a track record of turning messy ecological and immunological data into accessible tools and visualizations that support decision-making for researchers and resource managers.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Quantitatve Ecology and Resource Management, Master's degree, Quantitatve Ecology and Resource Management at University of Washington
Costa Rica: Field Research in the Environment, Costa Rica: Field Research in the Environment at Associated Colleges of the Midwest
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at St. Olaf College
Contributions:17 commits, 2 PRs, 7 pushes in 1 year 2 months
pipelinesingle-cellworkflow
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