Philip Treleaven

Philip Treleaven is a Professor at the Department of Computer Science, University College London (UCL). His work bridges Artificial Intelligence, Blockchain Technology, and Financial Computing, with a focus on DeFi, Tokenization, and Algorithm Auditing. He leads research on AI governance, privacy-preserving data, and financial market automation.

• Key Research Areas
  • AI Ethics & Governance
  • Decentralized Finance (DeFi)
  • Tokenization & Web3
  • Cybersecurity & Emerging Threats
• Notable Collaborations
  • Adriano Koshiyama
  • Jeremy Barnett
  • Rem Sadykhov
  • Lukasz Szpruch
  • Nick Firoozye
  • Giles Pavey
• Recent Publications
  • "Data Assets: Tokenization and Valuation" (2023)
  • "DeTEcT: Dynamic and Probabilistic Parameters Extension" (2024)
  • "Optimising Large Language Models" (2025)

His research drives cross-disciplinary innovation, impacting finance, law, and data governance through applied machine learning and blockchain solutions. Current projects include DeTEcT (Decentralized Token Economy Theory) and Federated Computing Infrastructure.