Zachary Pincus
Computational Biologist
Bozeman, Montana, United States
Summary
👤
Senior🎓
Top SchoolZachary Pincus is a computational biologist with 16 years of experience blending data science and machine learning (20+ years of practice) with 15 years focused on aging biology. He holds a PhD in Biomedical Informatics from Stanford Medicine and has progressed from Yale postdoc to assistant professor and adjunct professor at Washington University, now applying his interdisciplinary skills at Hexagon Bio. Zachary pairs rigorous academic research with production-grade software contributions—his Cython-optimized algorithm work and performance improvements in scikit-image and Qt integration fixes in IPython demonstrate a knack for high-performance numerical code and reproducible tools. Based in Bozeman, MT, he excels at translating complex biological problems into scalable computational pipelines and often contributes subtle but impactful optimizations that materially improve downstream analyses.
16 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical Informatics, Doctor of Philosophy - PhD, Biomedical Informatics at Stanford University School of MedicineBachelor of Science - BS, Biology, Bachelor of Science - BS, Biology at Stanford University
Github Skills (17)
pyq10
qt10
python10
image-processing10
ipython10
numpy10
pyqt10
performance-optimization10
cython10
computer-vision10
pyside9
c178
c118
jupyter7
freeimage5
Programming languages (7)
Github contributions (5)
scikit-image/scikit-image
Nov 2011 - Apr 2013
Image processing in Python
Role in this project:
Back-end Developer & Algorithm Implementer
Back-end Developer & Algorithm ImplementerContributions:32 commits, 26 comments, 2 issues in 1 year 5 months
Contributions summary:Zachary contributed significantly to the scikit-image library, focusing on algorithm implementation and performance improvements. They enhanced the image processing capabilities by introducing fast binary heap classes and minimum-cost pathfinding algorithms, using Cython for optimization. The user also refactored and rewrote existing functions to integrate these new classes, showing a focus on code quality and leveraging Cython for improved performance in numerical image processing tasks. Additionally, the user added support for saving 8-bit greyscale images and provided a contour finding implementation.
image-processingpythoncomputer-visionimage
ipython/ipython
Sep 2015 - Sep 2015
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Role in this project:Back-end Developer
Back-end DeveloperContributions:10 commits, 2 PRs, 10 comments in 2 days
Contributions summary:Zachary primarily focused on maintaining and refactoring code related to Qt integration within the IPython project. Their contributions involved resolving import issues, moving code between modules, and clarifying the logic for loading different Qt API versions (PyQt4, PyQt5, PySide). They also made cosmetic improvements and updated documentation related to the Qt integration. The user’s work was crucial for ensuring compatibility and stability of the IPython kernel's Qt-based features.
documentation-websitepythondata-sciencebuildsnotebook
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