Lyron Winderbaum
Lecturer at University of South Australia
Adelaide, South Australia
Summary
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Rockstar🎓
Top SchoolLyron Winderbaum is a Lecturer and statistician with a PhD in applied statistics and over a decade of experience translating high-dimensional, linear-algebra–based methods into real-world biomedical and scientific insights. He specialises in discriminant analysis and machine learning for imaging mass spectrometry and other omics data, having collaborated widely with clinicians, molecular biologists and astrophysicists to improve experimental interpretation and patient-focused outcomes. A passionate educator and reproducible-research advocate, he teaches university-level mathematics and rebuilds courses for data science students while routinely producing analyses with R, LaTeX and knitr. He also contributes to open-source scientific computing—enhancing statistical functionality in the prominent gonum numeric libraries (including ROC implementations and PCA/CCA refactoring)—demonstrating a rare combination of academic research, applied data analysis and back-end scientific software development.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Teaching, GPA: 6.273, Master's degree, Teaching, GPA: 6.273 at University of Adelaide
Stackoverflow
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Github Skills (9)
statistics10
go10
scientific-computing10
data-analysis10
testing9
linear-algebra9
data-visualizations7
data-visualisation7
data-visualization7
Programming languages (4)
Github contributions (5)
gonum/gonum
Jun 2016 - Feb 2021
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:44 reviews, 3 commits, 2 PRs in 4 years 9 months
Contributions summary:Lyron contributed to the `gonum/gonum` repository by implementing and improving statistical functions. They added the ROC (Receiver Operating Characteristic) function, including weighted and unweighted versions, and expanded the test suite for the ROC function. The user also worked on refactoring and documenting existing statistical functionalities, specifically merging PCA and CCA into a single module, and addressing documentation errors.
golangdata-analysisstatisticsmatricesoptimization
Armadilloa16/thesis
Aug 2016 - Apr 2021
Contributions:8 pushes, 1 branch in 4 years 8 months
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