icmoore

Principal De Fi Researcher / De Fi Py Maintainer

Applied math PhD with research scientist background — four years at Syscoin Foundation working on AMM mathematics, depeg risk, and protocol simulation. Now maintain DeFiPy, the open-source SDK for AMM analytics (Uniswap V2/V3, Curve, Balancer) and run DeFiMind, a productized quant DeFi research practice. 

Notable Web3 work:

  • Founder of DeFiPy — open-source AMM analytics SDK, 53K+ downloads
  • AnchorRegistry — on-chain provenance infrastructure live on Base mainnet (USPTO provisional filed 2026)
  • arXiv publicationsTrustless Provenance Trees (2026) · EIP-1559 Stochastic Properties (2021)
  • DeFiPy: Python SDK for On-Chain Analytics (book, 2025)
  • ETHDenver 2024 speakerLiquidity Tree Protocols With Pachira
  • Co-author, Syscoin 4 whitepaper — early Bitcoin L2 design


Experience: 10 years

Yearly salary: $200,000

Hourly rate: $0

Nationality: 🇨🇦 Canada

Residency: 🇨🇦 Canada


Experience

Principal
DeFiMind
2025 - 2026
Founded and operate DeFiMind, a productized quantitative DeFi research practice. Fixed-scope engagements for DAOs, protocols, and funds — LP position audits, DAO treasury reviews, pool health and rug-risk diagnostics, and scoped quant consulting on AMM mechanics, depeg risk, and liquidity strategy.
DeFi Researcher / Foundation Advisor
SYS Labs / Syscoin Foundation
2021 - 2025
Designing and simulating DeFi models, manipulating AMM protocol math, research via Python/Solidity programming, writing whitepaper manuscripts.
Lead Data Scientist
2nd Address
2019 - 2020
Designed/Implemented online dynamic pricing model using Machine Learning and Statistics, predicted web browsing behavior using Machine Learning.
Senior Data Scientist
GE Digital/Bitstew
2015 - 2019
Worked on GE’s Predix Studio platform for IIOT, implemented Machine Learning and Time Series Analysis methodologies.
Senior Data Scientist
Neurio Technology Inc.
2014 - 2015
Worked on Non-intrusive Load Monitoring for IOT, implemented Machine Learning methodologies.
Statistician / Data Science Researcher
Center for Global eHealth Innovation
2013 - 2014
Developed and implemented Social Media Analysis platform to study response to certain diseases, integrated R statistical programming language.

Skills

data-science
defi
machine-learning
python
quantitative-researcher
research
solidity
web3-py
english