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.