Web3 Researcher & Blockchain Analyst
Evaluating incentive design, reverse-engineering protocol mechanics, and modeling user behavior. My proof of work focuses on how technical incentives drive token demand, liquidity routing, and sustainable protocol growth.
01. Commissioned Dashboards
Polkadot DeFi Singularity (Polytope Labs & Bifrost)
Evaluated an LP incentives campaign by reverse-engineering liquidity addition/removal events from protocol documentation to calculate Uniswap v4 TVL (where no public framework existed).
Analyzed incentives claimed vs. actual TVL growth, mapped user flows (DOT purchases bridged to Arbitrum, Base, BNB Chain, and Ethereum), and tracked downstream trading activity to assess cross-chain behavioral shifts.
View Dune Dashboard02. Behavioral Economics & Incentive Research
Kamino Finance: PYUSD Mechanics
Tracked the PYUSD incentive program, analyzing a supply surge from ~79M to 300M in one month. Revealed that the campaign attracted 5,300 unique depositors, with 70.9% returning for further on-chain activity.
Read AnalysisMiniPay Wallet Growth
Analyzed user acquisition metrics, uncovering an 11× rise in daily check-ins following reward implementations, with 27% of users completing 100+ transactions weekly.
Read AnalysisBONK: Burn Mechanics vs. Sustainable Growth
Examined token burn mechanics, modeling their limited impact on sustainable price growth in the absence of broader distribution and localized sentiment drivers.
Read Analysis03. Ecosystem & Protocol Dashboards
Fastlane Sidecar MEV
View DashboardPrimev Dashboard
View DashboardMento Reserves
View DashboardSolana Validator Vote Latency
View Dashboard04. Open Source Data Infrastructure & Models
05. Long-Form Synthesis
Technical essays bridging mathematical modeling, incentive design, and systemic DeFi risk.
Read the Blog