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Researcher · Academic · Executive
Zoubin Ghahramani
Google DeepMindVP Research
University of CambridgeProfessor of Information Engineering
🇬🇧🇮🇷 British-IranianBorn 1970
Ghahramani helped establish probabilistic machine learning: methods that let AI systems represent uncertainty rather than make only fixed predictions. His work on Bayesian nonparametrics also showed how models can grow in complexity as the evidence demands.[1]
Career & education
Current rolesGoogle DeepMind2023-presentVP ResearchUniversity of Cambridge2006-presentProfessor of Information Engineering
Google DeepMind2023-presentUniversity of Cambridge2006-presentPreviously
Google Brain2020-2023VP, Research
Uber2016-2020Chief Scientist & VP for AI
Google Brain2020-2023Uber2016-2020Geometric Intelligence2014-2016
Co-founder and Chief ScientistEducation
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations137,275As of Nov 1, '26
citations+2,463Since last snapshot, Oct 1, '26
References
- Zoubin Ghahramani — Cambridge research and publicationsmlg.eng.cam.ac.uk
Cambridge biography and authored papers Probabilistic Machine Learning and Artificial Intelligence (2015) and Bayesian Nonparametrics and the Probabilistic Approach to Modelling (2013) document uncertainty-aware modeling and flexible models.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
