Saige Rutherford

CEO And Founder at Ethical and Useful Machine Learning

Jena, Thuringia, Germany
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Summary

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Saige Rutherford is a computational neuroscientist and entrepreneur with eight years of cross-disciplinary experience translating brain science into socially responsible machine learning products and guidance. As CEO and Founder of Ethical and Useful Machine Learning and a postdoctoral researcher at Indiana University, she blends rigorous computational modeling from her PhD with practical data engineering—having managed and analyzed 30TB+ of clinical research data. Her background spans fetal and developmental neuroimaging to advanced Bayesian analysis, code review, and mentoring, giving her a rare fluency between clinical teams and technical implementation. Driven by a utility-first ethos, she focuses on making AI systems ethical, accessible, and genuinely useful rather than impressive for their own sake. Based in Jena, Germany, she pairs deep academic training with startup pragmatism to help organizations deploy ML responsibly.
code8 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy - PhD Computational Neuroscience, Doctor of Philosophy - PhD Computational Neuroscience at Radboud University
bookBachelor of Science (B.Sc.) Biomedical Physics, Bachelor of Science (B.Sc.) Biomedical Physics at Wayne State University
languagesEnglish, German
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Github Skills (38)

hierarchical10
toolbox10
routines10
meta-analysis10
neuroimaging10
spatial10
image-processing9
preprocessing9
inference9
raspberry-pi9
bids8
pipeline8
machine-learning8
removal8
brain-imaging7

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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saigerutherford/fetal-code

Sep 2017 - Feb 2022

Automated Preprocessing Pipeline for Fetal Resting-State fMRI Data
Contributions:71 commits, 23 PRs, 67 pushes in 4 years 6 months
pipelinemachine-learningpreprocessing-pipelinefmrifetal
Contributions:57 commits, 56 pushes, 1 comment in 1 year 3 months
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Saige Rutherford - CEO And Founder at Ethical and Useful Machine Learning