Juan Nunez-iglesias
Member & Co-Founder at Image Cooperative
Melbourne, Victoria, Australia
Summary
🤩
Rockstar🎓
Top SchoolJuan Nunez-iglesias is a research-focused software engineer and co-founder with 15 years of experience bridging neuroscience, bioimage informatics, and scientific Python. Based in Melbourne, he has led image analysis and segmentation work in academia (Monash, Howard Hughes Medical Institute) and founded Image Cooperative to translate that expertise into impact. He authored Elegant SciPy (O'Reilly) and is a prolific open-source contributor across flagship projects like scikit-image, SciPy, NetworkX, napari and numba, often improving core algorithms, testing, and documentation. Comfortable across the full stack of scientific computing—from data wrangling of TCGA RNAseq to GUI and plugin work for image tools—he blends rigorous research with production-grade engineering. An atypical strength is his mix of deep computational biology training (PhD in Computational Biology) and practical test automation/QA skills that ensure reproducible, well-documented tools.
15 years of coding experience
9 years of employment as a software developer
PhD, Computational Biology, PhD, Computational Biology at University of Southern CaliforniaThe University of Melbourne
English, Spanish, French
Stackoverflow
5,627reputation
229kreached
197answers
7questions
python
top-5%
image-processing
top-5%
opencv
top-5%
Github Skills (66)
graph-algorithms10
python10
image-processing10
testing10
complex-networks10
units-of-measurement10
visualizations10
scientific-computing10
graph-theory10
image-analysis10
qt10
pandas10
sparse-matrix10
numpy10
front-end-development10
Programming languages (23)
Github contributions (5)
scikit-image/skimage-tutorials
Jun 2014 - Jun 2021
skimage-tutorials: a collection of tutorials for the scikit-image package.
Role in this project:
Technical Writer
Technical WriterContributions:11 reviews, 113 commits, 13 PRs in 7 years 1 month
Contributions summary:Juan primarily contributed to the repository by adding and merging tutorial notebooks focused on the scikit-image package. Their work involved creating examples, exercises, and explanations on image analysis concepts. These contributions demonstrate a focus on educating users about the functionality of scikit-image.
scikit-imagepythondata-scienceskimagemachine-learning
elegant-scipy/elegant-scipy
Jan 2015 - Mar 2020
1st Edition of Elegant SciPy (O'Reilly Publishers)
Role in this project:Data Scientist
Data ScientistContributions:1 review, 871 commits, 115 PRs in 5 years 3 months
Contributions summary:Juan primarily contributes to data analysis and processing pipelines within the repository. They developed Python scripts to clean and generate count matrices from TCGA RNAseq datasets. Their work also included creating patient information datasets for survival analysis and generating tables for data visualization, indicating a focus on data manipulation and analysis. Furthermore, the user demonstrates a strong knowledge of scientific computing and data wrangling techniques to prepare data for downstream analysis.
jupyter-bookpythonnumpypublishersmachine-learning
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