Zoubin Ghahramani FRS is Professor of Information Engineering at the University of Cambridge, a Fellow of St John’s College, former Chief Scientist at Uber, and currently a Distinguished Researcher at Google AI. He was the Deputy Academic Director of the Leverhulme Centre for the Future of Intelligence from it’s inception until March 2021 and a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science.
He studied computer science and cognitive science at the University of Pennsylvania, obtained his PhD from MIT in 1995, and was a postdoctoral fellow at the University of Toronto. His academic career includes concurrent appointments as one of the founding members of the Gatsby Computational Neuroscience Unit in London, and as a faculty member of CMU’s Machine Learning Department for over 10 years. His current research interests include statistical machine learning, explainable and robust AI, scalable inference, probabilistic programming, and building an automatic statistician. He has published over 250 research papers, and has held a number of leadership roles as programme and general chair of the top international conferences in machine learning including: AISTATS (2005), ICML (2007, 2011), and NIPS (2013, 2014).
In 2015 he was elected a Fellow of the Royal Society and in 2020 he was awarded the Royal Society’s Milner Award and Lecture for his fundamental contributions to probabilistic machine learning.
A film produced by University of Cambridge and directed by Jonathan Settle. Leading Cambridge University researchers discuss the far-reaching advances offered by artificial intelligence – and consider the consequences of developing systems that think far beyond human abilities. Featuring CFI Researchers – Sarah Dillon, Seán Ó hÉigeartaigh, Zoubin Ghahramani and Stephen Cave. Download Film
One-network Adversarial Fairness AAAI19, Thirty-Third AAAI Conference on Artificial Intelligence (2019) Honolulu, Hawaii, USA There is currently a great expansion of the impact of machine learning algorithms on our lives, prompting the need for ob- jectives other than pure performance, including fairness. Fair- ness here means that the outcome of an automated decision- making system should […]
Discovering Interpretable Representations for Both Deep Generative and Discriminative Models Tameem Adel, Zoubin Ghahramani, Adrian Weller, Proceedings of the 35th International Conference on Machine Learning, PMLR 80:50-59, 2018. Abstract Interpretability of representations in both deep generative and discriminative models is highly desirable. Current methods jointly optimize an objective combining accuracy and interpretability. However, this may […]
A short interview with Zoubin Ghahramani filmed at the CFI conference in July 2017. Download Film
What is the Leverhulme Centre for the Future of Intelligence? Filmed at the first conference of LCFI which took place in July 2017 at Jesus College, Cambridge. Interviewees include: Murray Shanahan, Christina Demetriades (Accenture), Stuart Russell, Rob McCargow (PWC), Francesca Rossi, Alan Winfield, Claire Craig (Royal Society), Zoubin Ghahramani, Jullian Huppert, Jake Elwes (Digital Artist). […]
