Saul Acevedo

Houston, Texas, United States
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Summary

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Senior
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Top School
Saul Acevedo is a PhD-trained Data Science Developer with nine years of experience applying mathematical evolutionary models and computational methods to biological problems. He builds R Shiny applications and reproducible bioinformatics workflows to help researchers visualize, curate, and analyze preclinical drug and tumor-volume data, and he consults with scientists to embed statistical comparisons into interactive tools. His academic work on stochastic simulations and prion evolution (published in Proceedings B) informs a practical, model-driven approach to software for life sciences. Based in Houston, he blends hands-on coding in R, Python, Java, and CWL with domain fluency across biotech projects, enabling rapid adaptation to new biological challenges.
code9 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD Biology Mathematical Evolutionary Biology, Doctor of Philosophy - PhD Biology Mathematical Evolutionary Biology at University of Houston
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Stackoverflow

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Github Skills (21)

tidyverse9
looker-studio8
plugin8
sevenbridges8
dbt7
reddit7
standardization7
common-workflow-language7
user-experience7
walletconnect6
bioinformatics6
wallet6
terraform6
react5
ethereum5

Programming languages (4)

TypeScriptRCommon Workflow LanguagePython

Github contributions (5)

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Contributions:12 PRs, 86 pushes in 1 year 9 months
Contributions:97 PRs, 132 pushes, 2 branches in 7 days
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