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Zoubin Ghahramani is a leading expert in machine learning, probabilistic modelling, and Bayesian inference. He is the Chief Scientist of Uber, a Turing Fellow, and a Deputy Academic Director of the Leverhulme Centre for the Future of Intelligence. He has published many papers and books on topics such as Gaussian processes, clustering, graphical models, semi-supervised learning, and bioinformatics.
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 ...
- FRS (2015)
Zoubin Ghahramani is a leading researcher and executive in machine learning and artificial intelligence. He is a VP of Research at Google, leading Google Brain, and a Professor of Information Engineering at the University of Cambridge.
Learn about Zoubin Ghahramani, a leading expert in probabilistic machine learning and artificial intelligence, who is also Chief Scientist at Uber and a Fellow of the Royal Society. Find out his academic and research background, publications, awards, and roles in the machine learning community.
Zoubin Ghahramani. Professor, University of Cambridge, and Distinguished Researcher, Google. Verified email at eng.cam.ac.uk - Homepage. Machine Learning Bayesian Statistics Neural Networks Artificial Intelligence.
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Zoubin Ghahramani is a leading expert in probabilistic modelling, machine learning, Bayesian statistics, and Big Data. He has worked on applications of Bayesian machine learning to various fields, such as bioinformatics, econometrics, and network modelling, and has collaborations with many companies and organizations.
Zoubin Ghahramani is a leading researcher in Bayesian machine learning, artificial intelligence, and statistics. He is a faculty member at Cambridge and Carnegie Mellon universities, and has worked on various applications such as bioinformatics and econometrics.
