Thore Graepel
Google Deepmind
SHORT BIO
Thore Graepel works as a research group lead at Google DeepMind and holds a part-time position as Chair of Machine Learning at University College London. In support of responsible innovation in artificial intelligence, Thore also serves as a Member of the Board of Directors at Partnership on AI. Thore studied physics at the University of Hamburg, Imperial College London, and Technical University of Berlin, where he also obtained his PhD in machine learning in 2001. After holding post-doctoral positions at ETH Zurich and Royal Holloway College, University of London, Thore joined Microsoft Research in Cambridge in 2003, where he co-founded the Online Services and Advertising group. Major applications of Thore’s work include Xbox Live’s TrueSkill system for ranking and matchmaking and the AdPredictor framework for click-through rate prediction in Bing. Furthermore, Thore’s work on the predictability of private attributes from digital records of human behaviour has been the subject of intense discussion among privacy experts and the general public. At DeepMind, Thore has returned to his original passion of understanding and creating intelligent systems, and recently contributed to creating AlphaGo, the first computer program to defeat a human professional player in the full-sized game of Go.