Diego Zea
Associate Professor
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolDiego Zea is an Associate Professor at Université Paris-Saclay with 13 years of experience in structural bioinformatics and molecular evolution, focusing on how proteins evolve, move, interact, and function under influences like disorder and alternative splicing. He combines deep biological insight with strong computational skills in Python and Julia, integrating machine learning and statistics to tackle complex sequence and structural problems. As lead developer of the MIToS Julia package and a contributor to the widely used Plots.jl ecosystem, he champions open-source tools for reproducible analysis and advanced visualization. His work spans academic research, teaching, and software engineering, including a book on interactive visualization with Julia that reflects his emphasis on practical data exploration. Colleagues value his ability to translate evolutionary hypotheses into reproducible computational workflows and novel visualizations that reveal non-obvious patterns in protein structure. Based in Paris, he brings a global training background and a track record of bridging methodological development with biological discovery.
13 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at Universidad Nacional de Quilmes
Spanish, English, French
Stackoverflow
896reputation
34kreached
4answers
3questions
julia
top-5%
Github Skills (11)
visualization10
visualizations10
plot10
julia10
abi6
gadfly6
bioinformatics6
biopython6
pypy6
python6
numpy6
Programming languages (11)
Github contributions (5)
JuliaPlots/Plots.jl
Mar 2016 - Jul 2022
Powerful convenience for Julia visualizations and data analysis
Role in this project:
Data Scientist
Data ScientistContributions:10 commits, 7 PRs, 206 comments in 6 years 4 months
Contributions summary:Diego contributed significantly to the plotting functionalities of the `plots.jl` library. Their commits focused on adding and improving visualization features like arc and chord diagrams and boxplots. This work involved implementing and refining recipes for generating different plot types and modifying existing plotting functions within the library. Additionally, they addressed bug fixes related to whisker lengths and corrected theme-related issues.
data-analysisjulia-languageconveniencevisualizationsdata-visualization
diegozea/MIToS.jl
Jun 2015 - Jan 2023
Mutual Information Tools for protein Sequence analysis in Julia
Contributions:12 releases, 2 reviews, 646 commits in 7 years 8 months
sequencejulia-languagestructural-bioinformaticspdbbioinformatics
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