Organizational Charter

Farzulla Research

Independent, self-funded research initiative based in London focused on adversarial systems, computational finance, political economy, and AI alignment.

Organizational Structure

Status: Self-funded research activity operated by an individual

Trading Name: Farzulla Research

Established: October 2025

Location: London, United Kingdom

Researcher: Murad Farzulla

This is not a registered charity or company; it is a one-person research project publishing open datasets, software, and preprints.

Mission

Farzulla Research conducts independent research at the intersection of quantitative finance, political economy, and artificial intelligence. We build working systems that demonstrate novel approaches to governance alignment, financial modeling, and adversarial systems analysis, emphasizing 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.

Research Focus Areas

Adversarial Systems

Multi-agent dynamics, consent frameworks, friction analysis in complex systems

Quantitative Finance

Market microstructure analysis, regulatory event studies, volatility modeling

Political Economy

Legitimacy quantification, stakeholder consent vs technocratic competence

AI Alignment

Multi-agent systems with competing objectives, substrate-independent collaboration

Research Infrastructure

Kubernetes-native compute clusters, distributed systems for AI research. Technical infrastructure at Resurrexi.

Research Philosophy

  • Build First: Working prototypes demonstrate feasibility before formal publication
  • Open Source: Code, methodologies, and datasets released publicly where possible
  • Independence: Research direction determined by interesting problems, not funding requirements
  • Reproducibility: Documentation-first approach ensures replicability

Open Science Policies

All research outputs comply with OpenAIRE Guidelines for open access and FAIR data principles:

  • All research outputs publicly accessible via Zenodo repository with DOI assignment
  • CC-BY 4.0 licensing (default) for publications
  • Open source software releases (MIT/Apache licenses)
  • Standardized metadata following OpenAIRE requirements
  • ORCID integration for author identification (0009-0002-7164-8704)
  • Research data management aligned with European infrastructure standards

Zenodo Community: zenodo.org/communities/farzulla

Research Outputs

Academic Papers

Cryptocurrency volatility studies (TARCH-X), political legitimacy quantification, substrate-independent consciousness, trauma reframed as training data quality, FX alpha asymmetries, systemic risk indices. Full list at farzulla.org.

Interactive Dashboards

Research visualizations and parameter exploration tools hosted at resurrexi.io/dashboards.

Open Source Projects

Code repositories at github.com/studiofarzulla. All outputs archived with permanent identifiers via Zenodo.

Principal Investigator

Murad Farzulla, MSc Finance Analytics (completed, awaiting certification)

MSc Finance Analytics, King's College London (2024–2025)

BSc Accounting and Finance (First Class Honours), SOAS University of London (2021–2024)

Research Interests: Adversarial systems, multi-agent alignment, financial crime detection, market microstructure, computational infrastructure.

Contact

Governance

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.

Future Development

Current focus includes the Dissensus governance alignment research lab, with ongoing conversations with UCL supervisors regarding doctoral research in agent-based modeling and econometric analysis of multi-agent systems. Should collaborators join in the future, governance may be restructured accordingly.