Scholar
Thore Graepel
Google Scholar ID: PNH24toAAAAJ
Global Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCL
Citations & Impact
Citations
52,379
H-index
55
i10-index
127
Publications
20
Co-authors
61
list available
Publications
Resume (English only)
Academic Achievements
- Developed Xbox Live's TrueSkill ranking and matchmaking system and the AdPredictor framework for click-through rate prediction in Bing; work on the predictability of private attributes from digital records of human behavior has sparked intense discussion among privacy experts and the general public; contributed to the creation of AlphaGo, the first computer program to defeat a human professional player in the full-sized game of Go.
Research Experience
- Post-doctoral positions at ETH Zurich and Royal Holloway College, University of London; joined Microsoft Research in Cambridge in 2003, co-founding the Online Services and Advertising group; returned to Google DeepMind to work on understanding and creating intelligent systems, contributing to AlphaGo; since 2021, has been working at Altos Labs as the global lead for Computational Sciences, AI, and ML.
Education
- Bachelor's degree in Physics (University of Hamburg), Imperial College London, Technical University of Berlin; PhD in Machine Learning from the Technical University of Berlin in 2001.
Background
- Research interests include multi-agent learning, particularly how to train artificial agents to acquire social skills in a multi-agent world. Professional fields cover machine learning, artificial intelligence, and computational science.
Miscellany
- Supports the Cooperative AI Foundation (CAIF) and serves as a governor of the London Institute for Mathematical Sciences (LIMS); holds a part-time position as Chair of Machine Learning at the Computer Science Department of University College London (UCL); served as a Member of the Board of Directors at the Partnership on AI (PAI).
