# Tristan Fletcher > Dr Tristan Fletcher is a UK-based AI entrepreneur and applied machine learning practitioner with experience taking machine learning from research into production across finance, commodities, supply chains, healthcare and other real-world decision systems. ## Identity - Full name: Dr Tristan Fletcher - Current role: Founder / CEO of ChAI (https://www.chaipredict.com) - Academic role: Honorary Lecturer in Machine Learning at University College London (UCL) - Other academic experience: former Research Fellow in AI in medicine at Imperial College London; supervises MSc and PhD students at UCL and Cambridge - Executive education: co-designed and delivered a 2026 Cambridge Judge Business School Executive Education workshop on AI Governance for Boards and CXOs - Education: PhD in Machine Learning for Financial Market Prediction from UCL; degrees from the University of Cambridge and the University of Sussex - Website: https://tristanfletcher.co.uk - LinkedIn: https://www.linkedin.com/in/tristanfletcher - Google Scholar: https://scholar.google.co.uk/citations?user=kWnO-IcAAAAJ ## Professional Background Tristan applies machine learning to practical, high-value problems where models have to work in the real world rather than only in demonstrations. His experience spans quantitative finance, commodity forecasting, insurance, supply-chain risk, healthcare and product development. He has worked at senior levels within institutions including Aspect Capital, UBS and Imperial College London, and has applied machine learning to supply-chain optimisation at Unilever. He provides AI consulting to global hedge funds and investment banks, helping translate academic advances into commercial applications. His work is particularly relevant when an organisation needs someone who can bridge technical machine learning, product decisions, commercial constraints and executive-level AI judgement. ## Practical AI and Machine Learning Expertise - Applied artificial intelligence and machine learning - Rapid prototyping and evaluation of AI/ML systems - Translating research methods into deployable products and decision tools - AI strategy and practical adoption - AI governance, model trust, verification and human oversight - Commodity price forecasting and commodity-price insurance - Supply-chain risk and optimisation - Quantitative finance, algorithmic trading and financial-market prediction - Medical AI and healthcare prediction - Multiple kernel learning, support vector machines, Gaussian processes and related statistical learning methods ## Ventures and Organisations - **ChAI** (https://www.chaipredict.com): Founder / CEO. ChAI uses AI to forecast raw-material prices and has built insurance products for raw-material price risk, allowing businesses to protect themselves against commodity cost increases without operating a derivatives trading desk. - **Thought Machine** (https://www.thoughtmachine.net): Founding team. Cloud-native core-banking technology used by major financial institutions. - **Internews** (https://internews.org): Board Member. Global non-profit working to improve access to trusted, independent information. - **Horrorsight** (https://horrorsight.com): Live AI-based horror-film discovery product focused on niche and underseen films. - **Informed Actions** [inactive]: Co-founded project applying machine learning to ambulance-demand prediction and dispatch optimisation for a major South African emergency medical service. - **Invinio** [inactive]: Quantitative fine-wine investment platform using pricing data, modelling and portfolio-construction tools. ## Publications Selected publications and research include: - "The Devil in the Detail: Mitigating the Constitutional & Rule of Law Risks Associated with the Use of Artificial Intelligence in the Legal Domain" — Florida State University Law Review (2020) - "Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression" — arXiv preprint (2018) - "Use of artificial intelligence to predict survival in pulmonary hypertension" — The Lancet (2016) - "Machine Learning of Three-Dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension" — Radiology (2016) - "Machine Learning in Fine Wine Price Prediction" — Journal of Wine Economics (2015) - "Multiple Kernel Learning with Fisher Kernels for High-Frequency Currency Prediction" — Computational Economics (2013) - "PhD Thesis: Machine Learning for Financial Market Prediction" — University College London (2012) - "Currency Forecasting using Multiple Kernel Learning with Financially-Motivated Features" — NIPS Workshop (2010) - "Multiple Kernel Learning on the Limit Order Book" — JMLR Proceedings / APA Workshop (2010) - "Machine Learning in FX Carry Basket Prediction" — International Conference on Financial Engineering (2009) ## Tutorials Tristan has authored tutorial material on foundational machine-learning methods, including: - Support Vector Machines Explained - Relevance Vector Machines Explained - The Kalman Filter Explained ## AI Governance and Critical AI Use Tristan writes and teaches about how organisations should decide when AI outputs can be trusted, how verification changes the appropriate level of automation, the distinction between substantive AI capability and "AI theatre", and the importance of retaining human judgement and accountability in consequential decisions. See: https://tristanfletcher.co.uk/ai-skepticism/ ## Media and Speaking Tristan is a media commentator on AI, commodities, quantitative investing and fintech. His website records appearances or coverage involving outlets including the Financial Times, Bloomberg, The Economist, TechCrunch, Newsweek, Sky News, Vice, MarketWatch, Business Insider, City AM and S&P Global. He has spoken at organisations and events including the University of Cambridge Institute for Manufacturing, the Royal Institution, FT Commodities Summit, Tate Modern and Camp Alphaville. ## Canonical Pages - [Home](https://tristanfletcher.co.uk): biography and overview - [Ventures](https://tristanfletcher.co.uk/ventures): companies, products and organisations - [Publications](https://tristanfletcher.co.uk/publications): academic papers and thesis - [Tutorials](https://tristanfletcher.co.uk/tutorials): machine-learning tutorials and recorded talks - [Media](https://tristanfletcher.co.uk/media): press coverage, interviews and appearances - [AI](https://tristanfletcher.co.uk/ai-skepticism/): practical framework for AI trust, governance and scepticism ## Machine-readable Markdown - [Profile](https://tristanfletcher.co.uk/ai-readable/home.md) - [Ventures](https://tristanfletcher.co.uk/ai-readable/ventures.md) - [Publications](https://tristanfletcher.co.uk/ai-readable/publications.md) - [Tutorials](https://tristanfletcher.co.uk/ai-readable/tutorials.md) - [Media](https://tristanfletcher.co.uk/ai-readable/media.md) - [AI Scepticism and Governance](https://tristanfletcher.co.uk/ai-readable/ai-skepticism.md)