Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Reader in Statistics



+44 (0)20 7594 1490n.heard Website




543Huxley BuildingSouth Kensington Campus





Nick Heard is Reader in Statistics in the Department of Mathematics at Imperial College. His research interests center around computational Bayesian infererence, clustering and changepoint analysis, with a focus on application to large dynamic networks, such as computer networks or social networks, and bioinformatics problems.

Dr Nick Heard's personal web page can be found at

Selected Publications

Journal Articles

Fowler A, Heard NA, 2012, On two-way Bayesian agglomerative clustering of gene expression data, Statistical Analysis and Data Mining, Vol:5, ISSN:1932-1864, Pages:463-476

Bushel PR, Heard NA, Gutman R, et al., 2009, Dissecting the fission yeast regulatory network reveals phase-specific control elements of its cell cycle, BMC Systems Biology, Vol:3, ISSN:1752-0509

Heard NA, 2011, Iterative Reclassification in Agglomerative Clustering, Journal of Computational and Graphical Statistics, Vol:20, ISSN:1061-8600, Pages:920-936

Heard NA, Weston DJ, Platanioti K, et al., 2010, BAYESIAN ANOMALY DETECTION METHODS FOR SOCIAL NETWORKS, Annals of Applied Statistics, Vol:4, ISSN:1932-6157, Pages:645-662

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