Qualifications

PhD in Statistics, Newcastle University, 2010

BSc (Hons) in Mathematics and Statistics, Newcastle University, 2006

Memberships

Fellow of the RSS

Member of the International Society for Bayesian Analysis

Fellow of the Higher Education Academy

Research Interests

Bayesian inference

Statistical phylogenetics

Time-series analysis

Interdisciplinary research

Computational statistics

Semester 1

MAS8382: Time Series Data

MAS8383: Statistical Learning Methodology

Semester 2

MAS1608: Introduction to Probability and R (R part)

• Tyler AR, Ragbirsingh R, McMonagle CJ, Waddell PG, Heaps SE, Steed JW, Thaw P, Hall MJ, Probert MR. Encapsulated Nanodroplet Crystallization of Organic-Soluble Small Molecules. Chem 2020, 6(7), 1755-1765.
• Heaps SE, Nye TMW, Boys RJ, Williams TA, Cherlin S, Embley TM. Generalizing rate heterogeneity across sites in statistical phylogenetics. Statistical Modelling 2020, 20(4), 410-436.
• Hannaford NE, Heaps SE, Nye TMW, Williams TA, Embley TM. Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference. The Annals of Applied Statistics 2020, 14(4), 1964-1983.
• Heaps SE, Farrow M, Wilson KJ. Identifying the effect of public holidays on daily demand for gas. Journal of the Royal Statistical Society: Series A 2019, 183(2), 471-492.
• Roberts L, Michalák P, Heaps S, Trenell M, Wilkinson D, Watson P. Automating the placement of time series models for IoT healthcare applications. In: 2018 IEEE 14th International Conference on e-Science (e-Science). 2018, Amsterdam, Netherlands: IEEE.
• Cherlin S, Heaps SE, Nye TMW, Boys RJ, Williams TA, Embley TM. The effect of nonreversibility on inferring rooted phylogenies. Molecular Biology and Evolution 2018, 35(4), 984-1002.
• Houghton D, Hallsworth K, Thoma C, Cassidy S, Hardy T, Heaps S, Hollingsworth KG, Taylor R, Day CP, Masson S, McPherson S, Anstee QM, Trenell MI. Effects of Exercise on Liver Fat and Metabolism in Alcohol Drinkers. Clinical Gastroenterology and Hepatology 2017, 15(10), 1596-1603.e3.
• Williams TA, Szöllősi GJ, Spang A, Foster PG, Heaps SE, Boussau B, Ettema TJG, Embley TM. Integrative modelling of gene and genome evolution roots the archaeal tree of life. Proceedings of the National Academy of Sciences of the United States of America 2017, 114(23), E4602-E4611.
• Wilson KJ, Heaps SE, Farrow M. Demand forecasting over complex geographical networks: the case of Northern Gas Networks. In: Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016. 2016, Glasgow: CRC Press.
• Michalák P, Heaps S, Trenell M, Watson P. Doctoral symposium: Automating computational placement in IoT environments. In: DEBS 2016 - Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems. 2016, Irvine, California: Association for Computing Machinery, Inc.
• Heaps SE, Boys RJ, Farrow M. 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) 2015, 64(3), 543-568.
• Williams TA, Heaps SE, Cherlin S, Nye TMW, Boys RJ, Embley TM. New substitution models for rooting phylogenetic trees. Philosophical Transactions of the Royal Society B: Biological Sciences 2015, 370(1678), 20140336.
• Williams TA, Heaps SE. An introduction to phylogenetics and the tree of life. In: Goodfellow, M; Sutcliffe, I. ; Chun, J, ed. New Approaches to Prokaryotic Systematics. San Diego: Academic Press, 2014, pp.13-44.
• Heaps SE, Nye TMW, Boys RJ, Williams TA, Embley TM. Bayesian modelling of compositional heterogeneity in molecular phylogenetics. Statistical Applications in Genetics and Molecular Biology 2014, 13(5), 589-609.
• Heaps SE, Boys RJ, Farrow M. Computation of marginal likelihoods with data-dependent support for latent variables. Computational Statistics and Data Analysis 2014, 71, 392-401.
• Nakjang S, Williams TA, Heinz E, Watson AK, Foster PG, Sendra KM, Heaps SE, Hirt RP, Embley T. Reduction and Expansion in Microsporidian Genome Evolution: New Insights from Comparative Genomics. Genome Biology and Evolution 2013, 5(12), 2285-2303.
• Boys RJ, Farrow M, Germain SE. Discussion of ''Modelling multivariate counts varying continuously in space'' by A. M. Schmidt and M. A. Rodriguez. In: Bayesian Statistics 9: Proceedings of the Ninth Valencia International Conference on Bayesian Statistics. 2011, University of Valencia, Spain: Oxford University Press.