Independent Researcher · London
I study adversarial systems: stability, alignment, and friction where competing interests generate structural conflict. The work spans computational finance, AI alignment, political economy, and formal methods, held together by one thesis, that adversarial dynamics are a common organising force across these domains.
ORCID · Google Scholar · SSRN · PhilPeople
A multi-moment event study with dependence-robust inference, testing whether markets process mechanical disruptions and expectation-channel shocks differently.
Under reviewOn the political standing of existentially vulnerable autonomous systems, grounded in functional criteria rather than substrate.
Under reviewA functional account of substrate-independent friendship, distinguishing friendship simpliciter from the relational kind an AI system could instantiate.
Under reviewA composite DeFi and TradFi stress index. Its value is an interpretable, decomposable read on where stress originates, not superior discrimination over VIX.
PreprintA scale-relative formalism for persistence-conditioned dynamics, with an application to consent-based metaethics.
PreprintA contamination-aware NLP and factor pipeline testing whether the stated purpose of a cryptocurrency is reflected in how markets price it.
PreprintConsent-friction models and selection dynamics in systems where stakes and voice diverge.
Market microstructure, volatility asymmetries, and systemic-risk indexing in digital assets.
Multi-agent coordination under competing objectives, and standing for artificial agents.
Legitimacy quantification, consent versus competence, and institutional design.
Persistence-conditioned dynamics, identity as relational, and the foundations of process metaphysics.
King's College London. Completed, awaiting certification.
SOAS University of London.