Theodor Spiro
ORCID 0009-0004-5382-9346 · github.com/mool32 · mool32.github.io · linkedin.com/in/theodorspiro
Profile
Independent computational researcher; biophysics training (Lomonosov Moscow State University). Eight 2026 preprints / manuscripts across cellular signaling, aging biomarkers (412,730 ECG recordings; 823 EEG subjects across two cohorts; 263 GTEx donors plus four species), and the statistical structure of trained transformers (arXiv:2604.10571; 1,584 controlled ablations on Pythia 410M). Author and maintainer of perceptome, a Python toolkit for cellular perception analysis (Zenodo DOI; 73/73 tests). 2026 Emergent Ventures recipient. Methodology inherited from experimental physics: preregistration, bitwise-reproducible pipelines, bootstrap uncertainty quantification, honest negative results — formalized as an AI-collaborative research methodology framework applied across all of the above.
Software & tools
perceptome (2026) — Python toolkit for cellular perception analysis. 44 signaling modules; 9-PC eigenspace built from 154 Human Protein Atlas cell types; capacity-floor predictor; validity scorecard with three null controls; 8-cell cancer-attractor reference (11 cancers from 11 organ systems converge toward it during transformation, independently replicated on an external HCC cohort). Zenodo 10.5281/zenodo.20113468 · 73/73 tests passing.
Publications & preprints
Preprints (public, arXiv / bioRxiv / Zenodo):
- Universal statistical signatures of evolution in artificial intelligence architectures. arXiv:2604.10571, 2026. 935 ablation experiments across 161 publications; substrate-independent heavy-tailed DFE.
- Spectral exponents of the twelve-lead ECG reveal the anatomy of cardiac conduction disorders and a bifurcation between aging and disease. bioRxiv (submitted), 2026. 412,730 recordings across three continents; CLBBB vs CRBBB AUC ≈ 0.98 cross-population. Zenodo 10.5281/zenodo.19945065.
- Transcriptomic noise accumulates within tissue identity across human aging. bioRxiv (post-review v4), 2026. GTEx v8 + Tabula Muris Senis + Calico rat + macaque atlas; aging as systemic noise, not selective accumulation. Zenodo 10.5281/zenodo.19944444.
Under review:
- Waveform asymmetry as a biomarker of neural aging. Frontiers in Aging Neuroscience, 2026. LEMON (N=215) + Dortmund Vital Study (N=608) + 208-subject 5-year longitudinal. Zenodo 10.5281/zenodo.19912202.
Manuscripts (submission-ready / in preparation):
- Functional differentiation generates universal fitness-effect distributions in neural networks. Submission-ready; target NeurIPS 2026 / ICML Mechanistic Interpretability Workshop. Pythia 410M, 1,584 controlled ablations across 8 checkpoints.
- Clonal crystallization as a shared signature of bone-marrow aging and neural-network training. Cross-substrate (Gini, eff_N) framework; caloric restriction rescues 64% of the aging drift in rat bone marrow.
- Temporal architecture of signaling oscillations predicts cancer gene function across pathways. Rise/recovery temporal classification; OR = 27.5, p = 3.6 × 10⁻⁹ across 14 pathways.
- Negative feedback loop architecture as a modular predictor of cancer vulnerability. 128 NFLs from KEGG; 59-fold CGC enrichment (p = 9 × 10⁻⁴⁴); Irreversible Authority metric (ρ = 0.83).
- The Oracle’s Fingerprint: correlated AI forecasting errors and the limits of bias transmission. GPT-4o / Claude / Gemini error correlation r = 0.78 on 568 Metaculus forecasts.
- 21,000 attempts to think differently: a Russian adaptation of the Divergent Association Task. N = 21,159; Cronbach’s α = 0.899; live instrument deployed.
Technical reports:
- EEG-based comprehension detection: a multi-dataset non-replication. Honest negative result; 18 metrics, 5 datasets, 126 subjects.
Ongoing pilots
- Self-specific representations localize in emergent attention heads. Pilot study (Pythia 410M): 29 active meta-heads, all Δ_self > Δ_cross (binomial p < 10⁻⁸). Scaling and cross-model replication in progress before write-up.
- Epistasis mapping in transformer attention heads. Cross-model pairwise head-ablation interactions (Pythia 410M, OLMo-2 1B); pre-registered, multi-phase.
- Developmental epistasis in single-cell RNA-seq. Biology-side test of the ML epistasis signature on Schiebinger 2019 reprogramming; pilot calibration.
- Epistemic Fitness Pilot. Pre-registered (hash-locked) test of whether an LLM can discriminate scientific ideas by future impact.
Research experience
Independent computational researcher · 2020 – present Independent research program across cellular perception, aging biomarkers, comparative biology of neural networks, and AI-collaborative research methodology. Recent concentration on the perceptome framework and single-cell / transcriptomic analysis; earlier work in computational neuroscience (EEG) and systems biology. All inferential projects preregistered; full code and data released on GitHub and Zenodo.
Affiliated with Vaika Inc. · 2024 – present Vaika Inc. is a not-for-profit aging-research organization associated with the laboratory of Andrei Gudkov (Roswell Park Comprehensive Cancer Center). Aging manuscripts developed in this affiliation (e.g. pi-tissue-aging) were revised under Gudkov review.
B.Sc. / M.Sc. research — Moscow State University, Faculty of Physics · 2018 – 2022 Supervisor: Prof. L. Yakovenko. Agent-based / cellular-automata modeling of the cellular response to pro-inflammatory stimuli (TLR4/TLR6 → NF-κB → TNF → apoptosis), identifying key parameters of the innate-immunity signaling pathway.
Research methodology
Developer of an AI-collaborative research methodology framework (mool32.github.io/methodology) — preregistration discipline, sign-convention locks, locked-vs-working artifacts, reproducibility standards, and AI-friendly publishing — applied as worked examples across the portfolio.
Education
M.Sc. Biophysics (coursework completed) — Lomonosov Moscow State University, Faculty of Physics · 2021 – 2022 Computer simulation in biology; physics of biopolymers; physicochemical kinetics; magnetic radio-spectroscopy in biology and medicine. Thesis defense not completed due to relocation from Russia in 2022.
B.Sc. Biophysics — Lomonosov Moscow State University, Faculty of Physics · 2014 – 2021
Lyceum 1525, Physics & Mathematics — Moscow · 2010 – 2014
Teaching
Eleven years teaching mathematics and physics (ages 11–25), including curriculum design at Le Sallay Academy (selective international gifted program, 2025–2026), co-founder and lead teacher of BrainyBara (Israel, 2022–present), and prior roles at Foxford Online School (Moscow, 2015–2018) and Moscow State University (Instructor, Advanced Mathematics, 2018–2020). Full teaching record available on request.
Professional development
- Evidence-Based Teaching Practices — Harvard University BOK Center · 2022 – 2024
- Psychology of Development and Learning — MSUPE, Moscow · 2020
- Learning to Teach Online — University of New South Wales · 2020
Grants & honors
- Emergent Ventures grant — Mercatus Center · 2026
- Lomonosov Scientific Conference — presentation, Moscow · 2021
Technical skills
- Programming: Python (NumPy, Pandas, SciPy, scikit-learn, matplotlib, PyTorch), Git, Bash, LaTeX, SQL basics
- Methods: preregistered experimental design, bootstrap uncertainty quantification, distribution fitting with AIC comparison, dimensionality reduction, time-series and signal analysis, agent-based modeling
- Data domains: single-cell & bulk RNA-seq, EEG / ECG signals, neural-network interpretability, large-scale forecasting data
- AI-assisted research: LLM-integrated analysis pipelines under an explicit preregistration / reproducibility framework
Languages
Russian (native) · English (C1; all research published in English) · Hebrew (B1)