Danielle Van Boxel

PhD Candidate

Tucson, Arizona, United States
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Summary

👤
Senior
🎓
Top School
Danielle Van Boxel is an Applied Math PhD candidate and data scientist in Tucson with 13 years of experience translating complex statistical problems into clear visualizations and production-ready insights. She builds specialized analytics and machine-learning workflows, creates practical video tutorials on neural networks, and acts as an effective technical liaison between contractors and customers. A fanatic about efficient computing workflows, she combines rigorous mathematical training with hands-on tooling to move projects from prototype to reproducible delivery. Known on GitHub as a self-styled "Data Witch" and hex editor enthusiast, she brings a curiosity-driven approach to debugging and instrumentation that often surfaces nonobvious improvements to pipelines.
code13 years of coding experience
bookThe University of Arizona
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Stackoverflow

Stats
11reputation
48reached
0answers
1question
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Github Skills (58)

python10
racing10
machine-learning9
tensorflow9
neural-network9
deep-learning9
ros9
tmux8
deep-neural-networks8
ml8
visualization8
robotics8
genesys8
jupyter7
converter7

Programming languages (9)

TypeScriptC++RTeXJavaScriptHaskellVim ScriptPython

Github contributions (5)

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dvbuntu/barmpy

Jan 2023 - Sep 2025

Python module for Bayesian Additive Regression Models
Contributions:1 release, 88 pushes, 1 branch in 2 years 8 months
bayesianpython-modulesregression-models
dvbuntu/compute

Dec 2014 - Nov 2022

Contributions:101 commits, 70 pushes, 3 branches in 8 years
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