Ursula Tooley
Postdoctoral Fellow at Washington University School of Medicine in St. Louis
Missouri, United States
Summary
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Senior🎓
Top SchoolUrsula Tooley is a postdoctoral neuroscientist with over a decade of quantitative research experience, specializing in advanced statistics, data analytics, and child development. She has led multi-site projects, managed teams, and designed containerized preprocessing pipelines that handled terabytes of fMRI data during her PhD at the University of Pennsylvania. Ursula combines rigorous lab skills (fMRI, EEG, polysomnography) with strong project management and science communication, contributing documentation improvements to the widely used fMRIPrep open-source pipeline. Her work spans academic publications (20+ papers, including four first-author) and community outreach, where she translated complex methods into school- and community-based programs for children. Based in Missouri, she is passionate about turning data insights into practical interventions that improve health and well-being. An unexpected strength is her track record of building reproducible workflows and clear user-facing documentation that bridge technical teams and end users.
10 years of coding experience
5 years of employment as a software developer
The University of ArizonaEleanor RooseveltBeijing Institute of EducationDoctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at University of Pennsylvania
French, Chinese
Github Skills (9)
prepros10
restructuredtext10
preprocessing10
preprocess10
documentation10
brain-imaging10
bids9
mri8
image-processing8
Programming languages (8)
Github contributions (5)
nipreps/fmriprep
Aug 2019 - Mar 2020
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Role in this project:
Technical Writer
Technical WriterContributions:6 commits, 2 PRs, 17 comments in 7 months
Contributions summary:Ursula primarily focused on updating and refining the documentation for the fMRIPrep project. Their contributions centered on modifying the `docs/faq.rst` file, addressing formatting issues, and improving clarity. The updates included revisions to the documentation of the `--bids-filter-file` flag and provided examples of how to use it, aiming to enhance user understanding and usability. They also incorporated suggestions from code reviews to improve the overall quality and presentation of the documentation.
neuroimagingdiversetransparentpipelinefmriprep
utooley/fmriprep
Aug 2019 - Apr 2024
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Contributions:16 pushes, 4 branches in 4 years 8 months
diversetransparentpipelinefmriprepfmri
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