Mohammed Benseddik
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Mohanned Benseddik Research Associate Email: mohanned.benseddik[at]uzh.ch |
Short biography
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Mohammed is a data focused technologist and quantitative researcher with deep expertise in decentralized finance, on chain analytics, and quantitative risk management. Currently a PhD Candidate at the University of Zurich, he investigates yield generation mechanisms in DeFi including staking, restaking, lending, and structured on chain strategies while applying data driven methods to understand risk, performance, and system dynamics. Mohammed has actively supported and advised initiatives in the DeFi and digital asset ecosystem, leveraging his background in quantitative research, protocol analysis, and financial data science. |
Research Interests
Mohammed’s research centers on the mechanisms and risk properties of yield generation in decentralized finance, spanning staking, liquid staking, restaking, lending markets, and on chain yield strategies. His work explores quantitative risk management for DeFi with a focus on modeling liquidity, volatility, protocol specific risk, and the robustness of yield primitives under different market regimes. He is also interested in the evolving interfaces between DeFi and TradFi, particularly how blockchain based yield and risk models can integrate with traditional financial products and infrastructure. Additionally, Mohammed investigates on chain analytics methodologies such as protocol data extraction, capital flow tracking, and blockchain native risk indicators to better understand user behavior, market structure, and protocol performance across digital asset systems.
Publication
ZORA Publication List
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Publications
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Digital Democracy in Decentralised Autonomous Organisations In M. Lustenberger, F. Spychiger, & L. Küng (Eds.), Decentralized Autonomous Organizations - Governance, Technology, and Legal Perspectives. Proceedings of the 2nd European DAO Workshop (DAWO) (pp. 35–52). Springer. https://doi.org/10.1007/978-3-032-03273-7_3
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Governance and Maintenance for a DAO with Physical Assets - An Agent-based Model Proceedings of the IEEE International Conference on Omni-Layer Intelligent Systems, 106221151. https://doi.org/10.1109/coins61597.2024.10622115