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Fellows Directory

Zoubin Ghahramani

Zoubin Ghahramani

Professor Zoubin Ghahramani FRS


Elected: 2015


Zoubin Ghahramani is a world leader in the field of machine learning, significantly advancing the state-of-the-art in algorithms that can learn from data. He is known in particular for fundamental contributions to probabilistic modeling and Bayesian nonparametric approaches to machine learning systems, and to the development of approximate variational inference algorithms for scalable learning. He is one of the pioneers of semi-supervised learning methods, active learning algorithms, and sparse Gaussian processes. His development of novel infinite dimensional nonparametric models, such as the infinite latent feature model, has been highly influential.

Professional positions

Professor of Information Engineering, Department Of Engineering, University of Cambridge
University Liaison Director and Executive Board, Alan Turing Institute


  • Royal Society Milner Award

    For his fundamental contributions to probabilistic machine learning.

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