Edinburgh Research Explorer
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Willingness to take Ph.D. students: Yes

Research Interests

Hierarchical probabilistic models, Bayesian inference, Machine Learning

Qualifications

2007PhD, Gatsby Computational Neuroscience Unit at University College London
2002BA MSci in Natural Sciences (Physics), University of Cambridge

Biography

Iain Murray is a SICSA Lecturer in Machine Learning at the University of Edinburgh. He moved into Machine Learning from Physics after taking David MacKay’s undergraduate course in Cambridge. He obtained his PhD in 2007 from the Gatsby Computational Neuroscience Unit at UCL, under Zoubin Ghahramani. He was a commonwealth fellow in Machine Learning at the University of Toronto, before moving to Edinburgh in 2010. His research interests include building flexible probabilistic models of data, that can be applied widely: to cosmology, images, neuroscience, perception, speech, sports, text, and beyond. Iain has developed several Markov chain Monte Carlo (MCMC) methods for performing inference in these models.

Research outputs

  1. Multiplicative LSTM for sequence modelling

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Markov Chain Truncation for Doubly-Intractable Inference

    Research output: Contribution to journalArticle

  3. A determinant-free method to simulate the parameters of large Gaussian fields

    Research output: Contribution to journalArticle

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Research activities & awards

  1. The Savage Award (Honorable Mention)

    Activity: Awards and AccoladesPrize (including medals and awards)

  2. Van Heyningen Award for Teaching in Science and Engineering

    Activity: Awards and AccoladesPrize (including medals and awards)

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