Ashley Quiterio

Graduate Research Assistant

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Ashley Quiterio is a data science researcher and educator with eight years of experience designing inclusive curricula and studying how people engage with data, storytelling, and ethics. Based in the San Francisco Bay Area, she currently advances data science education research as a Graduate Research Assistant at Northwestern after a multi-year tenure developing and teaching Data 8 modules and outreach programs at UC Berkeley. Her work spans curriculum design, interactive Jupyter notebooks, and empirical studies—ranging from mapping HOLC redlining impacts to evaluating biases in historical record linkage—highlighting a focus on equity and narrative in data. She has led programs that introduce novices to coding and run community-focused initiatives such as teaching data skills in a women’s prison, demonstrating a commitment to widening participation. Known for turning raw, sociotechnical data into engaging learning experiences, she blends classroom pedagogy with research on data literacy and ethics.
code8 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree, Data Science, Bachelor's degree, Data Science at University of California, Berkeley
bookNorthwestern University
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Github Skills (6)

sports-data7
jekyll5
python4
machine-learning1
science1
data-science1

Programming languages (2)

JavaJupyter Notebook

Github contributions (5)

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tiilt-lab/sport_analytics

May 2022 - Feb 2025

The home of the SA Team's code and documentation.
Contributions:1 PR, 13 pushes, 1 branch in 2 years 9 months
sports-datapythonjekyll
Ash-Q/Ash-Q.github.io

Dec 2021 - Oct 2024

Contributions:8 pushes, 1 branch in 2 years 10 months
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