Iain received MA and MSci degrees in Natural Sciences (Physics) from the University of Cambridge before obtaining a PhD from the Gatsby Computational Neuroscience Unit at University College London. His thesis introduced a range of new 'Markov chain Monte Carlo' algorithms for solving integrals in hard statistical inference problems. While at Gatsby Iain also developed strong interests in probabilistic modelling and efficient algorithms for solving inference problems.
Partly supported by a Canadian Commonwealth Research Fellowship, Iain moved to Toronto in 2007 and joined the Machine Learning group there as a postdoctoral fellow. He has continued to expand the applicability of Markov chain Monte Carlo methods for statistical applications, such as the evaluation of large-scale probabilistic models. Iain has also formed collaborations to apply and extend hierarchical Bayesian methods. Recent application areas include understanding human perception and inferring celestial dynamics.
Iain will take a leave of absence to allow him to complete his Fellowship in Toronto, but he plans to make several extended visits to Edinburgh before moving to Scotland in 2010.