Professor Zoubin Ghahramani

Zoubin Ghahramani

University position


Professor Zoubin Ghahramani is pleased to consider applications from prospective PhD students.


Department of Engineering

Home page (personal home page)

Research Theme

Systems and Computational Neuroscience


My current research interests include Bayesian approaches to machine learning, artificial intelligence, statistics, information retrieval, bioinformatics, and computational motor control. Statistics provides the mathematical foundations for handling uncertainty, making decisions, and designing learning systems. I have recently worked on Gaussian processes, non-parametric Bayesian methods, clustering, approximate inference algorithms, graphical models, Monte Carlo methods, and semi-supervised learning. I have also worked on Computational Neuroscience and Sensorimotor Control. I am interested in how computational theories of learning relate to cognition.

Research Focus


Bayes rule


machine learning

neural circuit

Clinical conditions

No direct clinical relevance


No equipment indicated



Daniel Wolpert

Associated News Items

    Key publications

    Wolpert DM, Ghahramani Z (in press), “Bayes rule in perception, action and cognition” Gregory RL, (ed) The Oxford Companion to the Mind.



    Darkins R, Cooke EJ, Ghahramani Z, Kirk PD, Wild DL, Savage RS (2013), “Accelerating Bayesian hierarchical clustering of time series data with a randomised algorithm.” PLoS One 8(4):e59795 Details

    Eaton F, Ghahramani Z (2013), “Model reductions for inference: generality of pairwise, binary, and planar factor graphs.” Neural Comput 25(5):1213-60 Details

    Ghahramani Z (2013), “Bayesian non-parametrics and the probabilistic approach to modelling.” Philos Trans A Math Phys Eng Sci 371(1984):20110553 Details


    Kirk P, Griffin JE, Savage RS, Ghahramani Z, Wild DL (2012), “Bayesian correlated clustering to integrate multiple datasets.” Bioinformatics 28(24):3290-7 Details

    Sohn KA, Ghahramani Z, Xing EP (2012), “Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approach.” Genetics 191(4):1295-308 Details


    Lippert C, Ghahramani Z, Borgwardt KM (2010), “Gene function prediction from synthetic lethality networks via ranking on demand.” Bioinformatics 26(7):912-8 Details

    Savage RS, Ghahramani Z, Griffin JE, de la Cruz BJ, Wild DL (2010), “Discovering transcriptional modules by Bayesian data integration.” Bioinformatics 26(12):i158-67 Details

    Stegle O, Denby KJ, Cooke EJ, Wild DL, Ghahramani Z, Borgwardt KM (2010), “A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series.” J Comput Biol 17(3):355-67 Details


    Rasmussen CE, de la Cruz BJ, Ghahramani Z, Wild DL (2009), “Modeling and visualizing uncertainty in gene expression clusters using dirichlet process mixtures.” IEEE/ACM Trans Comput Biol Bioinform 6(4):615-28 Details

    Savage RS, Heller K, Xu Y, Ghahramani Z, Truman WM, Grant M, Denby KJ, Wild DL (2009), “R/BHC: fast Bayesian hierarchical clustering for microarray data.” BMC Bioinformatics 10:242 Details


    Sung J, Ghahramani Z, Bang SY (2008), “Latent-space variational bayes.” IEEE Trans Pattern Anal Mach Intell 30(12):2236-42 Details


    Podtelezhnikov AA, Ghahramani Z, Wild DL (2007), “Learning about protein hydrogen bonding by minimizing contrastive divergence.” Proteins 66(3):588-99 Details


    Chu W, Ghahramani Z, Krause R, Wild DL (2006), “Identifying protein complexes in high-throughput protein interaction screens using an infinite latent feature model.” Pac Symp Biocomput :231-42 Details

    Chu W, Ghahramani Z, Podtelezhnikov A, Wild DL (2006), “Bayesian segmental models with multiple sequence alignment profiles for protein secondary structure and contact map prediction.” IEEE/ACM Trans Comput Biol Bioinform 3(2):98-113 Details

    Kim HC, Ghahramani Z (2006), “Bayesian Gaussian process classification with the EM-EP algorithm.” IEEE Trans Pattern Anal Mach Intell 28(12):1948-59 Details


    Beal MJ, Falciani F, Ghahramani Z, Rangel C, Wild DL (2005), “A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.” Bioinformatics 21(3):349-56 Details

    Chu W, Ghahramani Z, Falciani F, Wild DL (2005), “Biomarker discovery in microarray gene expression data with Gaussian processes.” Bioinformatics 21(16):3385-93 Details

    Penny W, Ghahramani Z, Friston K (2005), “Bilinear dynamical systems.” Philos Trans R Soc Lond B Biol Sci 360(1457):983-93 Details


    Bourne PE, Allerston CK, Krebs W, Li W, Shindyalov IN, Godzik A, Friedberg I, Liu T, Wild D, Hwang S, Ghahramani Z, Chen L, Westbrook J (2004), “The status of structural genomics defined through the analysis of current targets and structures.” Pac Symp Biocomput :375-86 Details

    Dubey A, Hwang S, Rangel C, Rasmussen CE, Ghahramani Z, Wild DL (2004), “Clustering protein sequence and structure space with infinite Gaussian mixture models.” Pac Symp Biocomput :399-410 Details

    Rangel C, Angus J, Ghahramani Z, Lioumi M, Sotheran E, Gaiba A, Wild DL, Falciani F (2004), “Modeling T-cell activation using gene expression profiling and state-space models.” Bioinformatics 20(9):1361-72 Details

    Todorov E, Ghahramani Z (2004), “Analysis of the synergies underlying complex hand manipulation.” Conf Proc IEEE Eng Med Biol Soc 6:4637-40 Details


    Raval A, Ghahramani Z, Wild DL (2002), “A Bayesian network model for protein fold and remote homologue recognition.” Bioinformatics 18(6):788-801 Details

    Ueda N, Ghahramani Z (2002), “Bayesian model search for mixture models based on optimizing variational bounds.” Neural Netw 15(10):1223-41 Details


    Wolpert DM, Ghahramani Z, Flanagan JR (2001), “Perspectives and problems in motor learning.” Trends Cogn Sci 5(11):487-494 Details


    Ghahramani Z (2000), “Computational neuroscience. Building blocks of movement.” Nature 407(6805):682-3 Details

    Ghahramani Z, Hinton GE (2000), “Variational learning for switching state-space models.” Neural Comput 12(4):831-64 Details

    Ueda N, Nakano R, Ghahramani Z, Hinton GE (2000), “SMEM algorithm for mixture models.” Neural Comput 12(9):2109-28 Details

    Wolpert DM, Ghahramani Z (2000), “Computational principles of movement neuroscience.” Nat Neurosci 3 Suppl:1212-7 Details


    Roweis S, Ghahramani Z (1999), “A unifying review of linear gaussian models.” Neural Comput 11(2):305-45 Details


    Ghahramani Z, Wolpert DM (1997), “Modular decomposition in visuomotor learning.” Nature 386(6623):392-5 Details

    Hinton GE, Ghahramani Z (1997), “Generative models for discovering sparse distributed representations.” Philos Trans R Soc Lond B Biol Sci 352(1358):1177-90 Details


    Ghahramani Z, Wolpert DM, Jordan MI (1996), “Generalization to local remappings of the visuomotor coordinate transformation.” J Neurosci 16(21):7085-96 Details


    Wolpert DM, Ghahramani Z, Jordan MI (1995), “An internal model for sensorimotor integration.” Science 269(5232):1880-2 Details

    Wolpert DM, Ghahramani Z, Jordan MI (1995), “Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study.” Exp Brain Res 103(3):460-70 Details


    Wolpert DM, Ghahramani Z, Jordan MI (1994), “Perceptual distortion contributes to the curvature of human reaching movements.” Exp Brain Res 98(1):153-6 Details