Grace Lawley

Computer Scientist at Oregon Health & Science University

Portland, Oregon, United States
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Summary

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Senior
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Top School
Grace Lawley is a computer scientist and data scientist with eight years of experience at the intersection of statistics, computational linguistics, and NLP. Her PhD research at OHSU developed statistical and computational methods to quantify discourse features—like topic maintenance, filler usage, and backchanneling—in speech from children with ASD, translating linguistic theory into measurable analytics. She mentors working professionals in R and Python at Posit, helping practitioners bridge research-grade methods and applied data science workflows. Comfortable with both experimentation and production-ready code, she blends rigorous statistical modeling with practical NLP pipelines. Based in Portland, she brings deep domain expertise in language variation and a knack for turning nuanced conversational patterns into actionable insights.
code8 years of coding experience
bookOregon Health and Science University
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Github Skills (37)

r-package10
acl10
knitr10
computational-linguistics10
phonetics10
r9
natural-language-processing9
bookdown9
latex8
quarto8
docx8
file-operations8
data-wrangling8
stat7
tidymodels7

Programming languages (5)

CSSRCHTMLPython

Github contributions (5)

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gracelawley/stat545

Jun 2019 - Sep 2019

Contributions:12 pushes, 9 branches in 2 months
gracelawley/arm-bookdown

Jun 2019 - Aug 2019

Contributions:2 PRs, 22 pushes, 11 branches in 1 month
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