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boonespacedog/README.md

Hi, I'm Oksana (@boonespacedog)

What I Do

I build AI workflows demonstrating Python, data science, and AI engineering skills through real scientific questions.

My Journey

While learning Data Science, Python, and AI Engineering, I rediscovered my old passion for physics which gave me "big ideas" for my data and research sandbox projects.

What Makes My Work Different

I orchestrate complex AI R&D workflows at the theory construction level—working with deep subject-matter experts while staying general, strategic, and agile. My strength is navigating oblique problems where vertical depth meets horizontal integration.

Current focus:

  • Multi-agent AI orchestration for mathematical physics research
  • Computational validation of theoretical frameworks

Projects in This Portfolio

  • Fractional Laplacian on Curved Manifolds: Heat kernel expansions with curvature corrections
  • Surjection-to-QEC Framework: Group theory meets quantum error correction
  • 432-Group Structure: Discrete cosmology and (maybe) baryon asymmetry hypotheses
  • Complexity-Vector: No-go theorem proving scalar impossibility in multi-pillar complexity measures
  • Omega Mod M: Number theory meets computational verification—Selberg-Delange law for prime omega functions (when I was fascinated with primes and ternary computing)

These repositories demonstrate end-to-end research workflows: theory design → computational implementation → experimental validation → data visualization → publication preparation.

Skills showcased: Python · NumPy · SciPy · PyTorch · Multi-agent AI workflows · GAP · LaTeX · Git · Research design · Statistical validation · TDD protocols

Background: Master degree in administration - turned AI project manager.

Learning to code is a lot more interesting when you have research questions in mind. 🚀

Popular repositories Loading

  1. complexity-vector-1 complexity-vector-1 Public

    This paper proves a fundamental impossibility theorem for universal complexity measures.

    Python 1

  2. boonespacedog boonespacedog Public

    Config files for my GitHub profile.

  3. omega-mod-m omega-mod-m Public

    We study the finite-size distribution of the additive prime factor count Ω(n) modulo m. While the residue classes are asymptotically equidistributed, our computations reveal structured deviations t…

    TeX

  4. ternary-constraint-432-element-group ternary-constraint-432-element-group Public

    Independent research demonstrating discovery of structural limits and binary emergence in ternary algebraic spaces (GL(3,F₃)), with reproducible computational proofs and published codebase (GAP + P…

    Python

  5. Fractional-Laplacian Fractional-Laplacian Public

    First explicit curvature correction formula for fractional Laplacians on curved manifolds. Complete proof via heat kernel expansion, validated computationally on S². Applications in anomalous diffu…

    Python

  6. surjection-to-qec surjection-to-qec Public

    Mathematical framework connecting surjective group homomorphisms to quantum error correction via Type II₁ von Neumann algebras. Derives code distance bounds from algebraic structure and validates …

    Python