author

Daniel Fiuza

Lead Data Scientist at Range.org with a PhD from Imperial College London. I build ML systems for blockchain security and compliance—protecting $30B+ in monitored assets across 21 integrated chains.

What I Do

  • 🔗 Blockchain ML: Anomaly detection and risk analytics for DeFi protocols and cross-chain bridges
  • 💰 Stablecoin Compliance: USDC monitoring via CCTP, KYT/AML systems, and transaction risk scoring
  • 🛡️ Security Intelligence: Real-time threat detection and incident response for blockchain networks
  • 🔬 Research: ML for biomarker discovery at Imperial College London (part-time)

Current Focus

Lead Data Scientist at Range.org — building the blockchain security and intelligence platform trusted by leading protocols. Our ML-powered suite monitors $30B+ in assets, processes 730M+ transactions, and provides real-time compliance solutions for stablecoins and DeFi.

Research Associate at Imperial College London — applying ML for biomarker discovery in clinical immunology trials.

Technical Expertise

  • Blockchain: Cross-chain analytics, DeFi risk modeling, transaction graph analysis
  • ML/AI: Deep learning, anomaly detection, time series forecasting, NLP
  • Compliance: KYT/KYB, AML monitoring, regulatory reporting, risk scoring
  • Infrastructure: Real-time data pipelines, distributed systems, API development

Background

  • PhD: Imperial College London (Computational Fluid Dynamics & Applied ML)
  • Fellow: Faculty AI (Advanced ML Program)
  • Previous: Healthcare AI at Bryant Medical, LLM systems at HelpFirst AI, recommendation engines at LoveHolidays

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