Julia Silge
Engineering Manager at Posit PBC
Salt Lake City, Utah, United States
Summary
🤩
Rockstar🎓
Top SchoolJulia Silge is an engineering manager and tool-building practitioner with 11 years of experience leading teams that develop open-source ML and MLOps software and next-generation data science tooling at Posit. She combines a deep research background (PhD in Astronomy) and production data science experience—from Stack Overflow analytics to survey weighting—with a knack for clear technical communication as an author and international keynote speaker. Julia is a prolific contributor to the R ecosystem, notably improving feature engineering in tidymodels/recipes and advancing text-mining capabilities in tidytext by integrating robust tokenizers. She focuses on reproducible, user-friendly tooling and visualization, and brings an educator’s mindset to engineering—making complex methods accessible through writing, talks, and teaching. An underappreciated strength is her long history of turning research-grade data pipelines into maintainable production software, reflecting both academic rigor and product-oriented delivery.
11 years of coding experience
15 years of employment as a software developer
PhD Astronomy, PhD Astronomy at The University of Texas at AustinBS Physics, BS Physics at Texas A&M University
Stackoverflow
11,338reputation
502kreached
281answers
1question
tidyverse
top-5%
machine-learning
top-5%
knitr
top-5%
r
top-1%
tidyr
top-5%
dplyr
top-5%
Github Skills (28)
r10
feature-engineering10
tidy10
data-preprocessing10
regular-expression10
natural-language-processing10
tidyr10
text-mining10
ggplot10
bookdown10
leaflet9
markdown9
tidyverse9
machine-learning9
optimisation9
Programming languages (17)
Github contributions (5)
juliasilge/tidy-text-mining
Jul 2016 - Nov 2022
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
Role in this project:
Technical Writer
Technical WriterContributions:6 reviews, 408 commits, 43 PRs in 6 years 4 months
Contributions summary:Julia primarily focused on modifying and updating the book's content. Their commits involved adding notes, tips, and warnings, indicating an effort to enhance the presentation of the information. They also worked on converting the manuscript from an existing format, including regular expression replacements, demonstrating skills in content manipulation. Furthermore, they updated the deployment script, suggesting involvement in the book's publishing process.
juliatext-miningtidyversebookdownr
juliasilge/tidytext
Mar 2016 - Jan 2023
Text mining using tidy tools :sparkles::page_facing_up::sparkles:
Role in this project:Back-end Developer
Back-end DeveloperContributions:20 releases, 7 reviews, 607 commits in 6 years 10 months
Contributions summary:Julia's primary contribution was focused on enhancing the functionality of the `tidytext` library, specifically by adding support for the `tokenizers` package. This involved integrating the `tokenizers` package to provide more robust tokenization methods for various text formats. The user also implemented changes to existing functions, updating default tokenization parameters and documentation. These changes improved the library's text processing capabilities.
text-miningrtidyversetidy-datanatural-language-processing
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