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Lead Research Scientist across AI, data science & blockchain research.

Mohammed Benseddik
Mohammed BenseddikResearch scientist · Zurich

10+ years building research systems across finance, blockchain and AI, from data architecture and OnChain & TradFi analytics to portfolio backtesting, yield simulation and institutional investment intelligence.

Entropy Advisors · UZH prev. 21Shares · Credit Suisse · Natixis IM · Exane BNP Paribas
// LATEST BLOG POST
Why did Robinhood Chain’s L2 base fee rise so sharply? Robinhood Chain · L2 pricing · Onchain analysis
Read →
// LATEST RESEARCH PAPER
When Staking Rewards Compound Ethereum · Pectra · Staking rewards
Paper ↗
// CURRENTLY
Lead Research Scientist
Entropy Advisors
// RESEARCH
PhD Candidate
UZH Blockchain Center
// FOCUS
Onchain Analytics · Incentives Design · Portfolio & Yield Simulation
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Research Publications

Work from my PhD at the UZH Blockchain Center and professional roles, focused on incentive mechanisms, market design, consensus and on-chain economics.

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LECTURES & TALKS
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Technical Articles

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Data Science & Blockchain Research.

I work across data science, quantitative research and digital assets. At Entropy Advisors, I work with Arbitrum DAO and Offchain Labs on consensus mechanisms, incentive design, yield simulation and the data infrastructure supporting on-chain analysis, including architecture for a 200+ TB uncompressed on-chain data lake.

Previously, I led Data & AI teams at 21Shares and Natixis, supporting research, trading and portfolio-management teams. My work has ranged from quantitative research and portfolio backtesting to production analytics platforms, data-quality systems and market-data workflows.

I am also a PhD researcher at the University of Zurich Blockchain Center, focused on incentive mechanisms and market design in decentralized systems. My research combines statistical modelling, machine learning and on-chain data analysis.

Mohammed Benseddik
Mohammed Benseddik
Zurich, Switzerland
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2015 - 2018
Earlier: Data Analyst @ Worldline · SWE Intern @ NTNU (Paris · Gjøvik)
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Let's get in touch.

Open to research collaborations, advisory and conversations on consensus, market design and quantitative finance.