Grace Lawley

Portland, Oregon, United States
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Summary

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Senior
🎓
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 (31)

acl10
computational-linguistics10
phonetics10
data-wrangling9
bookdown9
tidymodels8
quarto8
natural-language-processing8
rstudio8
text-analysis8
file-operations8
r7
stat7
rtf7
docx7

Programming languages (4)

CSSRHTMLPython

Github contributions (5)

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gracelawley/gracelawley

Feb 2019 - Aug 2025

Personal website of Grace Lawley
Contributions:8 PRs, 80 pushes, 17 branches in 6 years 7 months
grace
gracelawley/stat545

Jun 2019 - Sep 2019

Contributions:12 pushes, 9 branches in 2 months
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