About Farzulla Research
Farzulla Research is an independent research program investigating stability, alignment, and friction dynamics in complex systems where competing interests generate structural conflict. The work spans political governance, financial markets, human development, and multi-agent AI systems.
This research treats diverse domains—political legitimacy, financial volatility, developmental trauma, multi-agent AI—as adversarial environments where optimal outcomes require balancing competing interests rather than eliminating conflict. This framework formalizes relationships between stakes, voice, and friction, applicable to algorithmic governance, climate negotiations, autonomous agents, and any system where consent structures remain undefined but friction dynamics are observable.
Research Infrastructure
Computational research is conducted at Resurrexi Labs, our distributed computing research division. The facility operates a 7-node Kubernetes cluster specializing in autonomous systems, offensive security testing, and large-scale computational experiments including Monte Carlo simulations and multi-agent adversarial frameworks.
Research Approach
The Adversarial Systems Research program employs computational methods to formalize relationships between stakeholder consent, power distribution, and systemic friction across multiple domains:
Political Governance
Quantifying legitimacy through stakes-weighted consent mechanisms, exploring competence-consent trade-offs in algorithmic governance frameworks.
Financial Markets
Modeling cryptocurrency volatility responses to infrastructure disruption versus regulatory uncertainty using TARCH-X econometric frameworks.
Human Development
Reframing developmental trauma through machine learning training data lens, demonstrating gradient cascades in biological neural networks.
Multi-Agent AI
Developing autonomous security agents for offensive/defensive competition, investigating game-theoretic security frameworks with information asymmetry.
People
Principal Investigator
Murad Farzulla
0009-0002-7164-8704
MSc Finance Analytics, King's College London (2024-2026)
BSc Accounting & Finance (First Class), SOAS University of London (2021-2024)
Research interests: Adversarial systems analysis, computational finance, multi-agent security frameworks, political economy of consent mechanisms, developmental psychology through computational lens.
Collaborative research arrangements are welcome from affiliated fellows and external researchers working on adversarial systems problems across disciplines. Future expansion will formalize visiting researcher and affiliate scholar programs.
Contact
For research collaborations, inquiries, or general correspondence:
Responses to academic inquiries typically occur within 48-72 hours. For time-sensitive conference-related questions, LinkedIn messaging provides fastest response.
Research Profiles