TU Delft > Algorithmics > Neil Yorke-Smith > Bio

Short Bio

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 (EEMCS/EWI), Delft University of Technology, 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 was General Chair of BNAIC/BeNeLearn'23, Programme Chair of IAAI'21 and of AAMAS'20, Area Chair of ECAI'23, and Proceedings Chair of RecSys'23; and currently 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.



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