Neil Yorke-Smith
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.
Research interests
data-driven optimisation, reinforcement learning, agent-based modelling, social simulation, real-world applications of AI
Brief biography
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 150 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, and Programme Chair of AAMAS'20 and of IAAI'21; is a member of the IFAAMAS Board of Directors; 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 CAIRNE 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.
Further information
News, team, projects, publications, opportunities: STAR Lab website.
STAR Lab
I direct the Socio-Technical Algorithmic Research (STAR) Lab. The lab studies how machine intelligence can assist individuals and groups who face complex decision trade-offs. We bring together data and models, human preferences, and AI reasoning to 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.
Dr. N. Yorke-Smith
Visiting Address
Building 28, room 4E.160
Van Mourik Broekmanweg 6
2628 XE Delft
The Netherlands
Mailing Address
EEMCS, Algorithmics
P.O. Box 5031
2600 GA Delft
The Netherlands