Professor of Information Engineering, Department of Engineering, University of Cambridge
Professor Zoubin Ghahramani is Professor of Information Engineering and coordinates Cognitive Systems Engineering at the University of Cambridge. In addition he is Associate Research Professor of Computer Science at Carnegie Mellon University; an Adjuct Faculty at the Gatsby Computational Neuroscience Unit, University College London and an Adjunct Professor at Pohang University of Science and Technology, South Korea.
As Professor of Information Engineering, he leads the Machine Leaning Group; a multidisciplinary group whose research focusing on the mathematical foundations and practical applications of computational systems that learn, reason and act. Machine learning is a branch of artificial intelligence and underpins many modern technologies, such as speech recognition, robotics, internet search engines, bioinformatics, and more generally the analysis and modelling of large complex data.
Professor Ghahramani received his PhD in Cognitive Neuroscience from Massachusetts Institute of Technology in 1995. He has received several awards, most recently the Award for Best Paper at the International Conference on Artificial Intelligence and Statistics in 2010.
His research has previously focused on Gaussian processes, non-parametric Bayesian methods, clustering, approximate inference algorithms, graphical models, Monte Carlo methods and semi-supervised learning.
His current research interests include
- Bayesian approaches to machine learning
- Artificial intelligence
- Information retrieval
- Computational motor control