Bill Spotz
Founder at The University of New Mexico
Albuquerque, New Mexico, United States
Summary
🤩
Rockstar🎓
Top SchoolBill Spotz is an experienced computational scientist and founder with 22 years building and managing large-scale scientific computing programs across national labs and the U.S. Department of Energy. He blends deep technical expertise—demonstrated by contributions to core projects like NumPy, where he improved wrapper generation and array support—with program management skills that guided funding and strategy for computational research. Bill led technical teams at Sandia National Laboratories and managed SciDAC centers at DOE, translating advanced numerical methods and multiphysics modeling into mission-driven outcomes. Now based in Albuquerque, he runs Spotz Scientific while teaching mathematics at the University of New Mexico, bridging research, education, and entrepreneurship. His background includes a PhD in Aerospace Engineering from UT Austin and a track record of shipping robust, tested code as well as shaping national research priorities. An uncommon mix of hands-on open-source development and high-level program stewardship makes him effective at turning complex scientific requirements into practical, supported software.
23 years of coding experience
29 years of employment as a software developer
PhD Aerospace Engineering, PhD Aerospace Engineering at The University of Texas at Austin
Stackoverflow
33reputation
2kreached
1answer
3questions
Github Skills (18)
python10
numpy10
list-processing10
array-map10
swig10
c-language9
c119
c179
cprogramming-language9
fortran8
html6
jupyter-notebook6
google-sheets6
substitution6
pypandoc6
Programming languages (6)
Github contributions (5)
numpy/numpy
Mar 2007 - Mar 2013
The fundamental package for scientific computing with Python.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:73 commits, 1 comment in 6 years 1 month
Contributions summary:Bill primarily contributed to the development and improvement of the ``numpy.i`` file, which is used for generating wrapper code for interfacing with scripting languages. Their work involved consolidating and expanding typemaps, and adding a suite of tests for various array types. The user also added support for both C and Fortran-ordered arrays, expanding the functionality of the numpy.i file. Furthermore, they addressed bugs and deprecated code.
pythonscientific-computingnumpy
wfspotz/trilinos-feedstock
Nov 2017 - Jan 2020
A conda-smithy repository for trilinos.
Contributions:2 PRs, 5 pushes, 4 branches in 2 years 2 months
condasmithytrilinos
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