Professor Lukasz Szpruch is Director for Finance and Economics at The Alan Turing Institute and Professor of Mathematics of Machine Learning at the University of Edinburgh. He founded and leads FAIR a leading research programme focused on AI in finance. His work centres on translating cutting-edge research into practical frameworks, tools, and delivery programmes that enable scalable adoption of AI in high-stakes, regulated environments.

His expertise spans machine learning, reinforcement learning, generative AI, and agentic systems, with a particular focus on AI safety, security, orchestration, governance, AI Model Risk Management, and the testing and validation of complex AI workflows.

Professor Szpruch holds a number of advisory and standards-related roles. He is a member of the Bank of England and FCA AI Consortium, the FCA Academic Advisory Council, and the FCA Synthetic Data Expert Group. He also serves as an expert on AI and its impact on wholesale finance for the International Organisation of Securities Commissions, is a founding member of the UK FinTech Academic Network, and sits on the Steering Committee of the NCER-FinTech project in Luxembourg. Most recently, he participated in an AI testing pilot with the AI Verify Foundation in Singapore.

His recent thought leadership includes Move Fast without Breaking the Bank: Model Risk Management of GenAI Workflows, Insuring AI: Incentivising Safe and Secure Deployment of AI Workflow, Towards Algorithm Auditing, Synthetic Data – What, Why and How?, and Making Generative AI Trustworthy and Reliable at Adoption Scale.