Neil Yorke-Smith directs the STAR Lab at TU Delft. His research addresses a fundamental question of the AI era: how can technology help people make decisions in complex socio-technical situations? Yorke-Smith is an Associate Professor of Socio-Technical Algorithmics in the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology.
data-driven optimisation, reinforcement learning, agent-based modelling, social simulation, real-world applications of AI
Neil Yorke-Smith directs the Socio-Technical Algorithmic Research (STAR) Lab at TU Delft. His research addresses a fundamental question of the AI era: how can technology help people make decisions in complex socio-technical situations? Yorke-Smith is an Associate Professor in the Faculty of Electrical Engineering, Mathematics and Computer Science at the Delft University of Technology (TU Delft), The Netherlands. Yorke-Smith has been a Visiting Scholar at St Edmund's College, Cambridge and at the Center for the Study of Language and Information, Stanford University, and a Visiting Research Fellow at the Cambridge Judge Business School and at RMIT University. Previously, Yorke-Smith held positions at the American University of Beirut, Lebanon, and SRI International, USA. The author of more than 100 scholarly publications, Yorke-Smith has consulted in Silicon Valley, Europe, and the Middle East. He holds a doctorate degree from Imperial College London. Yorke-Smith is General Chair of BNAIC/BeNeLearn'23, was Programme Chair of AAMAS'20 and of IAAI'21, and sits on the Editorial Boards of the journals AI, Constraints, JAAMAS and JAIR. Yorke-Smith is a Senior Member of AAAI, a Senior Member of ACM, and a member of CLAIRE and ELLIS. In addition to directing the STAR Lab, Yorke-Smith currently serves as manager of the Dutch Citizens and Society in the Energy Transition (CaSET) ELSA AI Lab.
News, team, projects, publications, opportunities: STAR Lab website.
I direct the Socio-Technical Algorithmic Research (STAR) Lab. The lab focuses on individuals and groups who face many options or complicated implications. We research how bringing together data and models, peoples' preferences, and AI reasoning can facilitate outcomes better for society. We make impact through partnering with companies, universities, municipalities, and government departments. Join us!
Please see the full publications list of the STAR Lab. The list below is limited to the TU Delft repository.