Brett Vanderwerff is a Genetic Data Analyst with eight years of scientific and data-focused experience and over five years specializing in large-scale genetic and EHR data analysis. Based at Pullman, WA, he combines a PhD-level background in molecular biology with strong Python, R, and SQL skills to design end-to-end workflows that turn raw biobank and clinical datasets into reproducible, actionable results. At the University of Michigan Department of Biostatistics he applies rigorous analytical pipelines while his earlier WSU roles honed experimental and teaching chops that strengthen his communication of complex findings. An active open-source contributor, he has written tested Scrapy spiders for civic-data projects—demonstrating an interest in practical web tooling beyond core bioinformatics. Colleagues describe him as a methodical problem-solver who bridges wet-lab intuition and computational rigor to accelerate translational research.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Biology, Bachelor's degree, Biology at University of Wisconsin-Parkside
Doctor of Philosophy - PhD, Molecular Biology, Doctor of Philosophy - PhD, Molecular Biology at Washington State University
Scrape, standardize and share public meetings from local government websites
Role in this project:
Back-end Developer
Contributions:20 commits, 2 PRs, 14 comments in 18 days
Contributions summary:Brett primarily contributed to building a scraper for the Chicago Public Schools (CPS) Community Action Council meetings. They developed a Python spider using the Scrapy framework. The user implemented parsing logic to extract event details such as names, dates, locations, and descriptions. Further contributions included writing tests and refactoring the codebase for readability and maintainability.
Contributions:73 commits, 1 PR, 13 pushes in 9 months
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