Zoubin Ghahramani has been a full Professor of Information Engineering at the University of Cambridge since 2006, and is a Fellow of St John's College Cambridge. He leads the Cambridge Machine Learning Group consisting of  about 30 researchers. He obtained a B.S.Eng in Computer Science and a B.A. in Cognitive Science at the University of Pennsylvania, and his PhD in Computational Neuroscience from MIT in 1995. 

From 1995 to 1998 he was a postdoctoral fellow in the Artificial Intelligence Group 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 focuses on nonparametric Bayesian modelling and statistical machine learning. He has also worked on applications to bioinformatics, econometrics, and a variety of large-scale data modelling problems.

He has published over 200 papers, receiving 25,000 citations and has won best paper awards at the ICML, UAI and AISTATS conferences, as well as the 2013 Classic Paper Award at ICML.

Zoubin's work has been funded by grants and donations from EPSRC, DARPA, Microsoft, Google, Infosys, Facebook, Amazon, FX Concepts and a number of other industrial partners. He has been Associate Editor in Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence, one of the IEEE's highest impact journals, and has served on editorial boards of several journals.

He has served on the advisory boards of Opera Solutions and Microsoft Research Cambridge, and currently serves on the Steering Committee of the Cambridge Big Data Initiative. He has also served in a number of leadership roles as programme and general chair of the main international conferences in machine learning: AISTATS (2005), ICML (2007, 2011), and NIPS (2013, 2014).