Staff profile

• Bayesian inference
• Time series analysis
• Statistical bioinformatics
• Spatio-temporal modelling

• Statistics

• 0000: Fellow of the Alan Turing Institute: 2021-2022
• 0000: Fellow of the Higher Education Academy: 2017-present
• 0000: Royal Statistical Society North Eastern Local Group: Chair (2018-2020), Secretary (2015-2018), Ordinary ;Member (2011-2015)

Chapter in book

• Williams, Tom A. & Heaps, Sarah E. (2014). An Introduction to Phylogenetics and the Tree of Life. In New Approaches to Prokaryotic Systematics. Goodfellow, M., Sutcliffe, I. & Chun, J. Academic Press. 41: 13-44.

Conference Proceeding

• Bernardo, J. M., Bayarri, M. J., Berger, J. O., Dawid, A. P., Heckerman, D., Smith, A. F. M. & West, M. (2011). Discussion of ''Modelling multivariate counts varying continuously in space'' by A. M. Schmidt and M. A. Rodriguez. Bayesian Statistics 9: Proceedings of the Ninth Valencia International Conference on Bayesian Statistics, Benidorm, Spain, Oxford University Press.

Journal Article

• Heaps, Sarah E. (2022). Enforcing Stationarity through the Prior in Vector Autoregressions. Journal of Computational and Graphical Statistics
• Tyler, Andrew R., Ragbirsingh, Ronnie, McMonagle, Charles J., Waddell, Paul G., Heaps, Sarah E., Steed, Jonathan W., Thaw, Paul, Hall, Michael J. & Probert, Michael R. (2020). Encapsulated Nanodroplet Crystallization of Organic-Soluble Small Molecules. Chem 6(7): 1755-1765.
• Hannaford, Naomi E., Heaps, Sarah E., Nye, Tom M. W., Williams, Tom A. & Embley, T. Martin (2020). Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference. The Annals of Applied Statistics 14(4): 1964-1983.
• Heaps, Sarah E., Farrow, Malcolm & Wilson, Kevin J. (2020). Identifying the effect of public holidays on daily demand for gas. Journal of the Royal Statistical Society: Series A (Statistics in Society) 183(2): 471-492.
• Heaps, Sarah E, Nye, Tom MW, Boys, Richard J, Williams, Tom A, Cherlin, Svetlana & Embley, T Martin (2020). Generalizing rate heterogeneity across sites in statistical phylogenetics. Statistical Modelling 20(4): 410-436.
• Cherlin, Svetlana, Heaps, Sarah E, Nye, Tom M W, Boys, Richard J, Williams, Tom A & Embley, T Martin (2017). The Effect of Nonreversibility on Inferring Rooted Phylogenies. Molecular Biology and Evolution 35(4): 984-1002.
• Williams, Tom A., Szöllősi, Gergely J., Spang, Anja, Foster, Peter G., Heaps, Sarah E., Boussau, Bastien, Ettema, Thijs J. G. & Embley, T. Martin (2017). Integrative modeling of gene and genome evolution roots the archaeal tree of life. Proceedings of the National Academy of Sciences 114(23): E4602-E4611.
• Williams, Tom A., Heaps, Sarah E., Cherlin, Svetlana, Nye, Tom M. W., Boys, Richard J. & Embley, T. Martin (2015). New substitution models for rooting phylogenetic trees. Philosophical Transactions of the Royal Society B: Biological Sciences 370(1678): 20140336.
• Heaps, Sarah E., Boys, Richard J. & Farrow, Malcolm (2015). Bayesian modelling of rainfall data by using non-homogeneous hidden Markov models and latent Gaussian variables. Journal of the Royal Statistical Society: Series C (Applied Statistics) 64(3): 543-568.
• Heaps, Sarah E., Nye, Tom M.W., Boys, Richard J., Williams, Tom A. & Embley, T. Martin (2014). Bayesian modelling of compositional heterogeneity in molecular phylogenetics. Statistical Applications in Genetics and Molecular Biology 13(5): 589-609.
• Heaps, Sarah E., Boys, Richard J. & Farrow, Malcolm (2014). Computation of marginal likelihoods with data-dependent support for latent variables. Computational Statistics & Data Analysis 71: 392-401.