An independent, self-funded research portfolio based in London, focused on adversarial systems, computational finance, political economy, and AI alignment.
An individual research portfolio publishing open datasets, software, and preprints. Governance-focused work is carried out through the Dissensus research lab.
Independent research at the intersection of quantitative finance, political economy, and artificial intelligence, building working systems that demonstrate novel approaches to governance alignment, financial modelling, and adversarial systems analysis, with an emphasis on reproducibility, open-source tooling, and practical implementation.
Governance-focused research is conducted through Dissensus, a governance alignment research lab exploring multi-agent dynamics, consent frameworks, and institutional design.
Multi-agent dynamics, consent frameworks, and friction analysis in complex systems.
Market microstructure, regulatory event studies, and volatility modelling.
Legitimacy quantification, stakeholder consent versus technocratic competence.
Multi-agent systems with competing objectives, substrate-independent collaboration.
Kubernetes-native compute clusters and distributed systems for AI research. Technical infrastructure at Resurrexi.
All research outputs comply with the OpenAIRE guidelines for open access and the FAIR data principles:
Zenodo community: zenodo.org/communities/farzulla
Cryptocurrency volatility studies (TARCH-X), political legitimacy quantification, substrate-independent consciousness, trauma reframed as training-data quality, FX alpha asymmetries, and systemic-risk indices. Full list at research.
Research visualisations and parameter-exploration tools, including the live ASRI systemic-risk dashboard at asri.dissensus.ai.
Code repositories at github.com/studiofarzulla. All outputs archived with permanent identifiers via Zenodo.
Murad Farzulla, MSc Finance Analytics (completed, awaiting certification).
MSc Finance Analytics, King's College London (2024 to 2025). BSc Accounting and Finance (First Class Honours), SOAS University of London (2021 to 2024).
Research interests: adversarial systems, multi-agent alignment, financial crime detection, market microstructure, and computational infrastructure.
All research direction, project selection, funding decisions, and operational matters are determined by Murad Farzulla as the sole researcher and steward of this project. This charter serves as internal governance documentation for the research activity.
Current focus includes the Dissensus governance alignment research lab, alongside ongoing conversations with UCL supervisors about doctoral research in agent-based modelling and the econometric analysis of multi-agent systems. Should collaborators join in the future, governance may be restructured accordingly.
Last updated: June 2026
This site is the personal academic portfolio of Murad Farzulla, an individual, self-funded research activity, not a registered company or charity. All research outputs are disseminated through open-access channels. Governance-focused research is conducted through the Dissensus research lab.