Projects

Six directions, in this order. Cellular perception (the perceptome framework and toolkit) is currently the active center. Comparative biology of neural networks and aging research are the two long-running substantive threads. Cognition and social projects, methodological work (including a deliberate negative result), and the validation framework behind all of it round out the portfolio.

Cellular perception

Treating cellular signaling pathways as a perceptual repertoire — the current center of the portfolio. Flagship: the cancer-convergence finding, built on the perceptome framework + toolkit, with a growing family of papers.

Comparative biology of neural networks

Applying biological methods (DFE, population genetics, epistasis) to neural networks. Almost-biological experiments on trained transformers — same statistical apparatus that population geneticists use on yeast and flies.

Aging research / biomarkers

Aging signatures across substrates: cardiac conduction, EEG, bulk and single-cell transcriptome. Cross-population replication is the default standard.

Cognition, education, experiments, social projects

Public instruments, cognition studies, and educational / social experiments.

Methods & cross-substrate work

Cross-substrate bridges and methodological contributions — including a deliberate negative result. Where same apparatus operates across different objects of study, or where the methodology itself is the contribution.

Research methodology and validation

The machinery that makes every result here checkable: hash-locked pre-registration, fixed sign conventions, honest negative results, reproducible code, and machine-readable publishing — with this portfolio as the worked example. Includes explicit disclosure of how AI systems are used as instruments, and what they are not trusted with.