Devin Silvia
Educator Development And Growth Experience Fellow
Lansing, Michigan, United States
Summary
👤
Senior🎓
Top SchoolDevin Silvia is an educator and computational scientist with 16 years of experience blending astrophysical research, data science education, and open-source software development. Holding a PhD in Astrophysical and Planetary Sciences, Devin moved from simulating cosmic chemical evolution to designing career-facing data science curricula and directing undergraduate studies at Michigan State University. They teach introductory Python, computational modeling, and data science while advancing inclusive classroom practices to broaden STEM pathways. An active back-end contributor to the widely used yt project, Devin has improved core data-analysis and visualization features that bridge research workflows and teaching tools. Currently an EDGE Fellow, they are building an industry-aligned AI- and data-focused course informed by automated job-market analysis and partnerships with national and local employers.
16 years of coding experience
9 years of employment as a software developer
B.S, Astronomy, B.S, Astronomy at University of WashingtonM.S, Astrophysical and Planetary Sciences, M.S, Astrophysical and Planetary Sciences at University of Colorado at BoulderPhD, Astrophysical and Planetary Sciences, PhD, Astrophysical and Planetary Sciences at University of Colorado Boulder
Github Skills (11)
data-visualizations10
data-visualization10
data-visualisation10
visualization10
visualizations10
python10
scientific-computing10
data-analysis10
numpy9
astronomy8
astrophysics8
Programming languages (4)
Github contributions (5)
yt-project/yt
Sep 2009 - Aug 2015
Main yt repository
Role in this project:
Back-end Developer
Back-end DeveloperContributions:28 commits in 6 years
Contributions summary:Devin primarily contributed to the core functionality of the yt project, making several improvements and bug fixes to the data analysis and visualization tools. They corrected sorting methods for derived fields and added features, like the "fractional" keyword, to improve the functionality of plotting and profile generation. The user also addressed issues related to aspect ratios in projections and colorbar behavior. Their work indicates a focus on enhancing the usability and accuracy of the project's data analysis and visualization capabilities.
pythondatafinite-element-analysisgeophysicsnuclear-engineering
msu-cerl/msu-cerl.github.io
Sep 2020 - Oct 2023
The Computational Education Research Lab at Michigan State University
Contributions:4 PRs, 44 pushes, 1 branch in 3 years 1 month
research-labmichigan-state-universitypythonresearch-educationmichigan
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