Theodor Spiro

Independent researcher · Vaika Inc., East Aurora, NY · ORCID 0009-0004-5382-9346 · tspiro@vaika.org

Currently centered on perceptome — a framework treating cellular signaling pathways as a perceptual repertoire, with a Python toolkit (44 modules, 9-PC eigenspace, cancer attractor reference). Alongside: aging biomarkers across substrates (EEG, ECG, transcriptome), the comparative biology of neural networks (DFE and epistasis applied to LLM training), and a developing framework for doing science in active collaboration with AI.

About

I’m an independent researcher (Vaika Inc., East Aurora, NY) with a biophysics background. The portfolio organizes into six directions:

  1. Cellular perceptionperceptome (toolkit + framework + a growing family of papers) and related work on oscillatory signaling and cancer
  2. Comparative biology of neural networks — DFE, epistasis, and population-genetics tools applied to trained transformers
  3. Aging research / biomarkers — cross-population replications on cardiac, transcriptomic, and EEG substrates
  4. Cognition, education, experiments, social projects — instruments and studies of human cognition
  5. Methods & cross-substrate work — bridges, methodological contributions, and honest negative results
  6. AI-collaborative research methodology — the framework behind all of the above, applied as worked examples

I publish under one canonical name everywhere: Theodor Spiro (ORCID 0009-0004-5382-9346). Manuscripts and code are released on GitHub at github.com/mool32 and on Zenodo / arXiv.

Currently

perceptome v0.3 is the active center of the work — a Python toolkit for cellular perception analysis with a 9-PC eigenspace, capacity-floor predictor, validity scorecard, and an 8-cell cancer attractor reference. A family of papers around the framework is in preparation. In parallel: functional-differentiation DFE manuscript writeup, the epistasis Tier-2 extension on Pythia 410M / OLMo-2 1B, and the clonal-crystallization cross-substrate bridge preparing for submission.

News

Selected work

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AI-collaborative research methodology →