Zoubin Ghahramani is a Vice President of Research at Google, where he led Google Brain, and a Professor of Information Engineering at the University of Cambridge. His Google Research profile highlights work centered on probabilistic machine learning, the approach that treats learning and prediction as reasoning about uncertainty using the rules of probability. He has authored roughly 300 research papers in these areas.
His career spans the leading institutions of modern machine learning. Before Google he was Chief Scientist and VP for AI at Uber, the founding Cambridge director of the Alan Turing Institute, and held positions at MIT, Carnegie Mellon, and the Gatsby Computational Neuroscience Unit at University College London. He was elected a Fellow of the Royal Society in 2015 and received the Royal Society’s Milner Award in 2021 for outstanding achievements in computer science in Europe. When Google Brain merged with DeepMind he continued in a senior research leadership role at the combined Google DeepMind.
Ghahramani is closely associated with Bayesian methods, Gaussian processes, and the broader effort to make machine learning systems that represent what they do not know rather than producing overconfident answers. For a general reader, he is a key figure behind the strand of AI that treats principled handling of uncertainty as central, a concern that has grown more important as large models are deployed in high-stakes settings.