Alfredo González-espinoza
Research Data Librarian
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolAlfredo González-Espinoza is a Research Data Librarian at Carnegie Mellon University with 11 years of quantitative research experience and a PhD in Physics, blending chemistry, physics and computer science to solve interdisciplinary data problems. He advises researchers on data management, reproducible workflows, and Python/Julia-based analysis while building digital artifacts for knowledge discovery and semantic mapping. His prior postdoctoral work quantified innovation in music—results featured in Scientific American—and he has developed hybrid data-driven clustering methods for cancer genomics. Alfredo designs AI-assisted data pipelines and applies complex-systems methods to time series and music score characterization, bringing a rare combination of theoretical rigor and practical tooling to academic and institutional research services.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Science (Physics), Doctor of Philosophy (Ph.D.), Science (Physics) at Facultad de Ciencias UAEM / Instituto de Ciencias Físicas UNAMMaster's degree, Science (Physics), Master's degree, Science (Physics) at Facultad de Ciencias UAEM
Spanish, English
Github Skills (14)
google-play6
julia5
music5
player5
visualization4
python3
electron3
cross-platform2
matplotlib2
data-analysis2
graph2
visualizations2
ide1
dynamics1
Programming languages (2)
Github contributions (5)
spiralizing/MidiTS.jl
Jun 2019 - Jan 2020
Contributions:1 release, 14 commits, 13 pushes in 7 months
spiralizing/InfoSeries.jl
Feb 2016 - Jun 2019
Contributions:93 commits, 87 pushes, 1 branch in 3 years 4 months
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