Zoubin Ghahramani - Chief Scientist, Uber; Professor of Information Engineering, University of Cambridge
Probability theory provides a mathematical framework for understanding learning and for building rational intelligent systems. I will review the foundations of the field of probabilistic AI. I will then highlight some current areas of research at the frontiers, touching on topics such as Bayesian deep learning, probabilistic programming, Bayesian optimisation, and AI for data science. I will also describe how we have organised research at Uber AI and where probabilistic machine learning fits in.
Zoubin Ghahramani is Chief Scientist and VP for AI at Uber, and Professor of Information Engineering at the University of Cambridge. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence, and a Fellow of St John's College. He was a founding Cambridge Director of the Alan Turing Institute, the UK’s national institute for data science and AI. He has worked and studied at the University of Pennsylvania, MIT, the University of Toronto, the Gatsby Unit at University College London, and Carnegie Mellon University. His research focuses on probabilistic approaches to machine learning and artificial intelligence, and he has published over 300 research papers on these topics. He was co-founder of Geometric Intelligence (now Uber AI Labs) and advises a number of AI and machine learning companies. In 2015, he was elected a Fellow of the Royal Society for his contributions to machine learning.
David Parkes
Gioia Sweetland
617-495-2919