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Professor Sylvia Richardson

Research Chair in Biostatistics, University of Cambridge (Appointed in June 2012)
Director, MRC Biostatistics Unit, Cambridge (Appointed in April 2012)

Contact information

01223 762562

MRC Biostatistics Unit
Cambridge Institute of Public Health
Cambridge Biomedical Campus, Forvie Site, Robinson Way
United Kingdom


I have worked extensively in many areas of biostatistics research and have made extensive contributions to the statistical modelling of complex biomedical data, in particular from a Bayesian perspective.


J Pettit , R Tomer , K Achim, S Richardson, L Azizi , J Marioni (2014) Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets. PLoS Computational Biology PLoS Computational Biology Volume 9 - Issue 10: E1003824
G Papageorgiou, S Richardson & N Best (2014) Bayesian nonparametric models for spatially indexed data of mixed type Journal of the Royal Statistical Society Series B (2014) : First published online: 13 Dec 2014
PJ Newcombe, H Raza Ali, FM Blows,E Provenzano, PD Pharoah, C Caldas and S Richardson (4 September 2014) Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival Stat Methods Med Res 0(0) : 1–23
D Hastie, S Liverani & S Richardson (2014 ) Sampling from Dirchlet process mixture models with unknown concentration parameter: mixing issues in large data implementations Statistics and Computing Published online: 3 May 2014:
L Bottolo, M Chadeau-Hyam, coll. & S Richardson (2013) GUESS-ing polygenic associations with multiple phenotypes using a GPU-based Evolutionary Stochastic Search algorithm Journal of Computational Biology Volume 9 - Issue 8 : E1003657
P Kirk, A Witkover, CRM Bangham, S Richardson, AM Lewin & MPH Stumpf (2013) Balancing the Robustness and Predictive Performance of Biomarkers Journal of Computational Biology Volume: 20 Issue 12: : 1-11
S Geneletti, N Best, MB Toledano, P Elliott & S Richardson (10 July 2013) Uncovering selection bias in case-control studies using Bayesian post-stratification Wiley Online Library Volume 32 - Issue 15: 663–674
M Papathomas, J Molitor; C Hoggart; D Hastie & S Richardson. (September 2012) Exploring Data From Genetic Association Studies Using Bayesian Variable Selection and the Dirichlet Process: Application to Searching for Gene × Gene Patterns Genetic Epidemiology Volume 36, Issue 6, : 663–674
Bottolo, L., Petretto, E., Blankenberg, S., Cambien, F., Cook, S. A., Tiret, L. & Richardson, S. (2011) Bayesian detection of expression quantitative trait loci hot spots. Genetics 189: 1449-1459
Jackson, C., Best, N. & Richardson, S. (2009) Bayesian graphical models for regression on multiple datasets with different variables. Biostatistics 10: 335-351
Molitor, J. T., Papathomas, M., Jerrett, M. & Richardson, S. (2010) Bayesian Profile Regression with an Application to the National Survey of Children’s Health. Biostatistics 11: 484-498
Petretto, E., Bottolo, L., Langley, S. R., Heining, M., McDermott-Roe, C., Sarwar, R., Pravenec, M., Hübner, N., Aitman, T. J., Cook, S. A. & Richardson, S. (2010) New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach. PLoS Computational Biology 6: e1000737
Ratmann, O., Andrieu, C., Wiuf, C. & Richardson, S. (2009) Model criticism based on likelihood-free inference, with an application to protein network evolution. Proceedings of the National Academy of Sciences USA 106: 10576-10581

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