Cees G.M. Snoek is a full professor in computer science at the University of Amsterdam, where he heads the Video & Image Sense Lab and the interdisciplinary Human-Aligned Video AI Lab. He is also a director of three public-private AI research labs: QUVA Lab with Qualcomm, Atlas Lab with TomTom and the OpenBots Lab with Delft University of Technology, TNO and the Ministry of Defence. At University spin-off Kepler Vision Technologies he acts as Chief Scientific Officer. Professor Snoek is also the scientific director of Amsterdam AI, a collaboration between government, academic, medical and other organisations in Amsterdam to study, develop and deploy responsible AI.

He received the M.Sc. degree in business information systems (2000) and the Ph.D. degree in computer science (2005) both from the University of Amsterdam, The Netherlands. He was previously an assistant and associate professor at the University of Amsterdam, as well as Visiting Scientist at Carnegie Mellon University, USA, Fulbright Junior Scholar at UC Berkeley, head of R&D at University spin-off Euvision Technologies and managing principal engineer at Qualcomm Research Europe. His research interests focus on making sense of video and images by deep learning and foundation models. He has published over 300 refereed book chapters, journal and conference papers, and frequently serves as an area chair of the major conferences in computer vision, machine learning, and multimedia. He was previously an associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and Computer Vision and Image Understanding.

Professor Snoek is the lead researcher of the award-winning MediaMill Semantic Video Search Engine, which was the most consistent top performer in the yearly NIST TRECVID evaluations for over a decade. He was general chair of ACM Multimedia 2016 in Amsterdam, program chair for ICMR 2017, and initiator of the VideOlympics 2007-2009. He is a co-founder of the ELLIS Winterschool on Foundation Models and co-leads the ELLIS Research Program on Multimodal Learning Systems. He is a senior member of IEEE and ACM. Cees is recipient of an NWO Veni award, a Fulbright Junior Scholarship, an NWO Vidi award, and the Netherlands Prize for ICT Research. All for research excellence. Several of his Ph.D. students and Post-docs have won awards, including the IEEE Transactions on Multimedia Prize Paper Award the SIGMM Best Ph.D. Thesis Award, the Best Paper Award of ACM Multimedia, NWO Veni and Vidi awards and the Best Paper Award of ACM Multimedia Retrieval. Seven of his former mentees serve as assistant, associate or full professors.