12+ years of research and data science across finance, blockchain and AI, turning complex on-chain and market data into investment intelligence for institutional players.
Projects I worked on
A curated project archive is being prepared. Selected systems, research tooling and applied AI work will be published here once the writeups are ready.
Research Publications
Research spanning my PhD at the UZH Blockchain Center and my professional work, on incentive mechanisms, market design and consensus in decentralized systems, bridging academic rigor with real-world on-chain economies.
When Staking Rewards Compound: Measuring the Impact of Ethereum's Pectra Upgrade
Examines how Pectra's 0x02 compounding validators reshape consensus-layer rewards, simulating the APR uplift across staker types and analysing early adoption and migration barriers on the beacon chain.
Read on arXiv →Notes & essays
Notes and essays are being prepared. This section will reopen with selected writing on consensus, on-chain economics and the bridge between TradFi and DeFi.
Research that turns data into decisions.
I'm a quantitative researcher working where traditional and decentralized finance meet. As Lead Research Scientist at Entropy Advisors, I partner with Arbitrum DAO and Offchain Labs on consensus-mechanism research, treasury optimization, and yield strategy design, always with risk management at the core.
Over 12+ years across data science, quantitative finance and digital assets, I've built and led Data & AI teams and shipped production platforms used daily by trading, research and portfolio-management desks, turning complex on-chain and market data into decisions teams can act on. As Director and Head of Data Science & AI at 21Shares, I owned strategy and architecture for the firm's crypto-intelligence platform; earlier, at Natixis, I built and managed teams of data scientists and engineers.
Alongside this, I'm a PhD researcher at the University of Zurich Blockchain Center, studying incentive mechanisms and market design in decentralized systems, pairing machine learning and statistical modelling with domain expertise to tackle high-impact financial problems.
Zurich, Switzerland
Let's get in touch.
Open to research collaborations, advisory and conversations on consensus, market design and quantitative finance.