Steven Howell
Associate Research Engineer
Lexington Park, Maryland, United States
Summary
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Rockstar🎓
Top SchoolSteven Howell is an Associate Research Engineer with a PhD in Physics and a decade of experience applying data-driven methods to validate and securely deploy human-centered AI/ML systems. He blends hands-on engineering, from front-end contributions to the popular Bokeh visualization library to backend data pipelines and HPC configuration, with deep experimental and test-and-evaluation expertise gained across NIST, Booz Allen, and UMD ARL. His work spans creating reproducible scientific tools, designing DOE-based experiments for time-series systems, and building explainability and fairness tooling for ML in industry. Notably, he has optimized large-scale simulation workflows—rewriting Python hotspots in Fortran and managing GPU-accelerated HPC clusters—to deliver scalable, performant analyses. Based in Maryland, he pairs rigorous academic training with practical delivery, mentoring colleagues and shipping open-source examples that make complex science more accessible.
10 years of coding experience
8 years of employment as a software developer
PhD Physics, PhD Physics at The George Washington UniversityBachelor of Science Physics, Bachelor of Science Physics at Brigham Young University
Stackoverflow
17,762reputation
8.3mreached
56answers
46questions
jupyter
top-1%
conda
top-1%
bokeh
top-5%
matplotlib
top-5%
python
top-1%
github
top-5%
Github Skills (28)
data-visualizations10
bokeh10
python10
jupyter10
conda10
data-visualisation10
nvidia10
anaconda10
front-end-development10
cuda10
jupyter-notebook10
data-visualization10
matplotlib9
javascript9
matrix9
Programming languages (9)
Github contributions (5)
bokeh/bokeh
Aug 2016 - May 2018
Interactive Data Visualization in the browser, from Python
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:11 commits, 19 PRs, 29 pushes in 1 year 8 months
Contributions summary:Steven's contributions primarily involve enhancing the Bokeh library's front-end and related documentation and examples. They implemented new color palettes, including D3 category and colorblind-friendly options, and refactored existing palette structures. The user also addressed UI-related issues, changing default behavior for the hover tool on line plots. In addition to the front-end work, the user made minor improvements to Python-based examples.
pythonvisualisationplottingbokehplots
StevenCHowell/playing_with_data
Feb 2017 - Oct 2021
Contributions:21 commits, 51 pushes, 1 branch in 4 years 8 months
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