Ghahramani has made significant contributions in the areas of Bayesian machine learning (particularly variational methods for approximate Bayesian inference), as well as graphical models and computational neuroscience. His current research focuses on nonparametric Bayesian modelling and statistical machine learning. He has also worked on artificial intelligence, information retrieval, bioinformatics and statistics which provide the mathematical foundations for handling uncertainty, making decisions, and designing learning systems. He has published over 200 papers, receiving over 80,000 citations (an h-index of 120).[11][12]
He co-founded Geometric Intelligence in 2014, with Gary Marcus, Doug Bemis, and Ken Stanley, which was acquired by Uber in 2016.[13] Afterwards, he transferred to Uber's AI Labs in 2016, and later became Chief Scientist at Uber, replacing Gary Marcus. In 2020 he joined Google[14] and became the Sr. Director of Google Brain in April 2021 after Samy Bengio's departure.
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.[1]
He was awarded the Royal SocietyMilner Award in 2021 in recognition of ‘his fundamental contributions to probabilistic machine learning’.[15][16]
