Earlier Work & Foundations#
By pre-AI work, I mean work I completed before generative AI became a regular part of my workflow. I include it because it shows the foundation underneath the newer work: independent research, technical writing, mathematics, coding, visualization, and presenting results.
Every project published through my original dlevsey GitHub profile was researched, designed, and implemented without generative AI assistance. The repositories provide direct evidence of the code, computational methods, and project structure behind parts of this earlier work.
This section is a curated hub. Each category has its own page with project context, representative visuals, and direct links to the original papers, posters, or published samples.
Published educational writing created under defined audience, readability, research, and editorial requirements.
Published Work Research Audience-Aware Writing
Computational astrophysics, cosmology, and black-hole research completed with Python, Mathematica, MCMC, and scientific presentation.
Computational Physics Python Mathematica
Long-form technical and research writing covering relativistic electrodynamics, AI policy, and computational research.
Technical Writing LaTeX Inkscape
What Continued Into My Current Work#
Research discipline
Frame the question, examine the evidence, test an approach, and state the limitations.
Technical communication
Match the explanation and visual evidence to the audience without losing the underlying meaning.
Systems thinking
Look for patterns, make work repeatable, and improve the process through measured iteration.