Hannah Biegel
Manager, Bioinformatics
Portland, Oregon Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolHannah Biegel is a manager of bioinformatics with a PhD in Mathematics and eight years turning complex biological data into clinically actionable models. She leads teams that build reproducible R- and Python-based workflows, develop proteomics-driven machine learning for disease risk and exposure, and support translational research across industry and academia. Her background in mathematical modeling and data assimilation underpins work from influenza and COVID forecasting to proteomic predictors of dementia and tobacco exposure. Trained in Good Clinical Practice and human subjects research, she blends strong statistical rigor with an ethic-first approach to biomedical data. Based in the Portland area, she mentors colleagues and drives cross-functional projects that bridge theory, software, and clinical impact. Outside work she pursues creative hobbies—knitting and pottery—that reflect the same patience and attention to detail she applies to modeling.
8 years of coding experience
12 years of employment as a software developer
The University of ArizonaBachelor of Science (BS) Mathematics and Biology, Bachelor of Science (BS) Mathematics and Biology at University of PortlandBiology and Math, Biology and Math at University of Nebraska-Lincoln
Github Skills (16)
visualization10
forecasts10
standardized10
bootstrapping10
data-access10
traits10
analytics10
github-pages9
interoperability9
atmospheric-modelling9
reproducible-research8
forecasting8
python7
machine-learning7
time-series7
Programming languages (3)
Github contributions (5)
hbiegel/cdc-flusight-ensemble
Oct 2019 - Mar 2020
Guidelines and forecasts for a collaborative U.S. influenza forecasting project.
Contributions:42 PRs, 49 pushes in 4 months
forecastingpythondata-scienceemrmachine-learning
hbiegel/covid19-forecast-hub
May 2020 - Oct 2021
Projections of COVID-19, in standardized format
Contributions:32 PRs, 154 pushes, 124 branches in 1 year 4 months
projectionsstandardized
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