Claus Wilke
Professor, Dept. Of Integrative Biology
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolClaus Wilke is a Professor in Integrative Biology at the University of Texas at Austin with a 13-year track record in theoretical and computational biology, evolutionary biology, and statistical modeling. He has authored or co-authored over 140 scientific publications spanning bioinformatics, genomics, protein biochemistry, virology, and population genetics, combining deep theoretical training (PhD in Physics) with practical computational skills. An active contributor to open-source scientific tooling, he has improved ggplot2’s color-scale and colorbar behavior and developed an influential data-visualization book and accompanying code that emphasize principled use of color and animation. His work bridges rigorous mathematical modeling and accessible visualization, enabling clearer communication of complex biological dynamics. Based in Austin, he brings a rare blend of physics-trained quantitative thinking and hands-on software craftsmanship to biological research and education.
13 years of coding experience
11 years of employment as a software developer
PhD, Physics, PhD, Physics at Ruhr University Bochum
English, German, Italian
Stackoverflow
17,372reputation
1.9mreached
259answers
13questions
plot
top-5%
r
top-1%
Github Skills (14)
data-visualizations10
data-visualization10
data-visualisation10
ggplot10
theming10
r10
data-analysis10
plot9
ggridges6
visualization6
ridgeline-plot6
cowplot6
colors6
pie-chart6
Programming languages (15)
Github contributions (5)
clauswilke/dataviz
Jun 2017 - Aug 2020
A book covering the fundamentals of data visualization
Role in this project:
Data Scientist
Data ScientistContributions:528 commits, 18 PRs, 288 pushes in 3 years 3 months
Contributions summary:Claus contributed to the development of a data visualization book covering the fundamentals of data visualization. Their commits focused on setting up the basic framework of the book, including adding project settings, common functions and themes for plots, and integrating the code for the visualization. Furthermore, they worked on incorporating and demonstrating various features such as the use of color and the visualization of several datasets by producing charts to show trends in data. The user also worked on incorporating animations and new visual features.
data-visualization
tidyverse/ggplot2
Jan 2018 - Jul 2022
An implementation of the Grammar of Graphics in R
Role in this project:Back-end Developer
Back-end DeveloperContributions:63 reviews, 104 commits, 236 PRs in 4 years 7 months
Contributions summary:Claus contributed to the implementation of features related to color scales and the colorbar within the ggplot2 library. They addressed multiple issues, including fixing bugs in continuous color scales, improving the consistency of themes, and enabling more styling options for the colorbar guide. They consistently used cm as the unit of measurement, and made changes related to the spacing and positioning of elements. Their work involved code modifications within the `R/guide-colorbar.r`, `R/guide-legend.r`, and `R/theme-defaults.r` files.
graphicrvisualisationdata-visualisation
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