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Neil Yorke-Smith directs the Socio-Technical Algorithmic Research (STAR) Lab at TU Delft, focusing on enhancing decision-making in complex socio-technical situations using technology. He is an Associate Professor in the Faculty of Electrical Engineering, Mathematics, and Computer Science at Delft University of Technology. His research emphasizes data-driven optimization, reinforcement learning, agent-based modeling, social simulation, and real-world applications of artificial intelligence. Yorke-Smith has published more than 150 scholarly works and has substantial consultancy experience across Silicon Valley, Europe, and the Middle East. He holds a doctorate from Imperial College London and has held various academic positions, including Visiting Scholar at St Edmund's College, Cambridge, and Research Fellow at Cambridge Judge Business School. He has played significant roles in organizing prestigious conferences, such as General Co-Chair for AAMAS'27 and Programme Chair for AAMAS'20 and IAAI'21. In addition to leading STAR Lab, he co-directs the ICAI AI & Logistics Lab, which focuses on the intersection of artificial intelligence and logistics. Yorke-Smith collaborates with multiple partners across academia and industry, aiming to drive impactful societal outcomes through his research and teaching.
Delft University of Technology • Delft, Netherlands
Teaching and conducting research in the area of Socio-Technical Algorithmics.
Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.