Independent researcher. Founder & Director of Dissensus Ltd, which runs the Adversarial Systems & Complexity Research Initiative — ASCRI.
I work on adversarial systems: coordination friction, systemic risk, multi-agent systems, and AI governance. Methods are computational finance and formal verification (Lean 4). Each paper takes the same friction dynamics into a different domain — crypto market microstructure, political governance, AI alignment.
MSc Finance Analytics, King's College London · BSc Accounting & Finance (First Class), SOAS University of London
- ASRI — real-time aggregated systemic-risk index for cryptocurrency markets. Dashboard · API · arXiv:2602.03874. (w/ A. Maksakov)
- gjr-garch-x — GJR-GARCH volatility models with exogenous variance regressors. On PyPI.
- lean-formalizations — machine-checked proofs behind several papers. Zero
sorry, zeroaxiom(Lean 4 + Mathlib). - friction-marl — multi-agent RL friction dataset. Zenodo 10.5281/zenodo.20636467.
| Paper | Status | Link |
|---|---|---|
| Do Cryptocurrency Markets Differentiate Infrastructure from Regulatory Shocks? A Multi-Moment Event Study with Dependence-Robust Inference | Under Review · Digital Finance | paper |
| The Extremity Premium: Sentiment Regimes and Adverse Selection in Cryptocurrency Markets | Under Review · Computational Economics | arXiv:2602.07018 |
| Are Whitepaper Claims Reflected in Market Structure? A Contamination-Aware Pipeline and a Power-Limited Null | Under Review · Financial Innovation | arXiv:2601.20336 |
| The Replicator-Optimization Mechanism: A Scale-Relative Formalism for Persistence-Conditioned Dynamics | Preprint | arXiv:2601.06363 |
| The Axiom of Consent: Friction Dynamics in Multi-Agent Coordination | Preprint | arXiv:2601.06692 |
| Context-Dependent Affordance Computation in Vision-Language Models | Preprint | arXiv:2603.04419 |
Full list with PDFs → dissensus.ai · farzulla.org (papers + CV)
dissensus.ai · systems.ac · Google Scholar · ORCID 0009-0002-7164-8704 · murad@dissensus.ai