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Stephen Roberts is Professor of Machine Learning in Information Engineering at the University of Oxford. Stephen’s interests lie in methods for intelligent data analysis in complex problems, especially those in which noise and uncertainty abound. He has successfully applied these approaches to a wide range of problem domains including astronomy, biology, finance, sensor networks, control […]

Michael A Osborne (DPhil Oxon) is the Dyson Associate Professor in Machine Learning in the Department of Engineering Science, a co-director of the Oxford Martin programme on Technology and Employment, and a Faculty Member of the Oxford-Man Institute for Quantitative Finance, all at the University of Oxford. Within machine learning, he has published on active […]

Assoc. Prof. M. Pawan Kumar is a principal researcher in the OVAL group, which focuses on the design and analysis of optimization algorithms for problems that arise in computer vision and machine learning. Previous research includes analysis of convex relaxations for energy minimization in discrete Markov random fields, design of randomized rounding based move-making algorithms […]

Prof. Wood is an associate professor at the Department of Engineering Science, University of Oxford. Before that Dr. Wood was an assistant professor of Statistics at Columbia University and a research scientist at the Columbia Center for Computational Learning Systems. He formerly was a postdoctoral fellow of the Gatsby Computational Neuroscience Unit of the University […]