Books & Academic Research
Publications & Research
Published books, peer-reviewed journal papers, and research on Data Science, AI, and Tokenomics.
Published Books
The Decision Maker’s Handbook to Data Science
Apress (Springer Nature) · 2nd Edition · Sole Author
A practical guide for non-technical executives, managers, and founders on how to evaluate, hire for, and build a cohesive data strategy without needing to be a data scientist.
The Decision Maker’s Handbook to Data Science (2024 Edition)
Apress (Springer Nature) · 2024 Edition · Sole Author
AI and Data Science for Non-Technical Executives, Managers, and Founders. Substantially updated with dedicated frameworks for AI ethics, transparency, and governance.
Selected Peer-Reviewed Papers & Research
The Tokenomics Audit Checklist: Presentation and Examples from the Audit of a DeFi project, Terra/Luna and Ethereum 2.0
The Journal of The British Blockchain Association (JBBA), 6(2), 2023 · with Linas Stankevičius — Read Paper ↗
Auditing Tokenomics: A Case Study and Lessons from Auditing a Stablecoin Project
The Journal of The British Blockchain Association, 5(2), 2022 · Sole Author — Read Paper ↗
Performance Evaluation of the Circadia Contactless Breathing Monitor and Sleep Analysis Algorithm for Sleep Stage Classification
IEEE Engineering in Medicine and Biology Society (EMBC), 2020 — PubMed Record ↗
Why Do We Need Tokenomics? & Three Case Studies in Tokenomics
The Journal of The British Blockchain Association, 1(1) & 1(2), 2018 · Sole Author — Read Paper ↗
Predictive Modelling of Football Injuries
PhD Thesis, Department of Computer Science, University College London (UCL), 2016 — arXiv Abstract ↗
Investigating the Computational Power of Spiking Neurons with Non-Standard Behaviors
Neural Networks, vol. 43, pp. 41–54, 2013 · Sole Author — PubMed Record ↗
Modeling Speculative Trading Patterns in Token Markets: An Agent-Based Analysis with TokenLab
arXiv preprint, 2024 · with Mengjue Wang — arXiv Abstract ↗
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