David Robinson
Member Of Technical Staff at Anthropic
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Robinson is a seasoned engineering leader and data scientist with 11 years of experience building data platforms and analytics products, currently a Member of Technical Staff at Anthropic after senior engineering leadership at Heap. He has progressed from hands-on data science and R/Shiny development to directing cross-functional engineering and data teams, shipping production analytics and experimentation systems at companies like Heap, Flatiron Health, and Stack Overflow. A Princeton PhD in Quantitative and Computational Biology with an AB in Statistics from Harvard, he blends rigorous quantitative thinking with product-minded engineering. On GitHub he contributes to well-regarded R projects—improving the tidying of statistical models in tidymodels/broom and publishing interactive Shiny data explorations—showing continued commitment to reproducible analytics tooling. Colleagues describe him as someone who scales teams and systems without losing touch with code-level quality and statistical nuance. An unexpected strength is his ability to translate complex survival- and model-specific diagnostics into tidy, documented APIs that make advanced methods accessible to practitioners.
11 years of coding experience
11 years of employment as a software developer
A.B., Statistics, A.B., Statistics at Harvard UniversityPh.D., Quantitative and Computational Biology, Ph.D., Quantitative and Computational Biology at Princeton University
Stackoverflow
77,914reputation
8.0mreached
947answers
12questions
dataframe
top-5%
package
top-5%
virtualenv
top-5%
sorting
top-5%
django-models
top-5%
queue
top-5%
Github Skills (54)
data-visualizations10
printing10
python10
django10
r10
survival-analysis10
timer10
data-visualisation10
shiny10
tidy10
statistical-models10
tidyr10
data-visualization10
ggplot10
plotly10
Programming languages (10)
Github contributions (5)
dgrtwo/data-screencasts
Oct 2018 - Dec 2022
Code from live exploratory analyses of data in R
Role in this project:
Data Scientist
Data ScientistContributions:1 review, 107 commits, 7 PRs in 4 years 2 months
Contributions summary:David primarily contributes to the creation of interactive data visualizations using Shiny applications within the R programming language. They develop and deploy Shiny apps for various data analysis projects, including explorations of workplace gender disparity, NYC squirrel population distribution, and Broadway show metrics. Their work involves reading and manipulating data, creating plots with ggplot2 and plotly, and designing user interfaces for data exploration.
r-packagetibbleexploratoryanalysesrstats
tidymodels/broom
Dec 2016 - Jul 2018
Convert statistical analysis objects from R into tidy format
Role in this project:Back-end Developer
Back-end DeveloperContributions:3 releases, 45 commits, 68 PRs in 1 year 7 months
Contributions summary:David primarily focused on tidying and enhancing the `broom` package, which converts statistical analysis objects into a tidy format. Their contributions included modifying existing tidiers for survival analysis objects, random forest models, and kernel-based hazard rate estimates, as well as creating tidiers for `survdiff` objects. The user also fixed bugs related to confidence intervals within these tidiers and updated documentation, demonstrating a focus on improving the package's functionality and reliability within the context of statistical modeling in R.
r-packagestatisticshypothesis-testingregression-modelstidymodels
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