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Department of Applied Mathematics and Theoretical Physics


  • 2016-current: PhD, Mathematical Genomics and Medcine, University of Cambridge
  • 2012-2016: MMath, 1st Class, Univeristy of Warwick


Bayesian nonparametric methods and machine learning for complex biological data sets.

Selected Publications

4) Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics Oliver M. Crook, Laurent Gatto, Paul D. W. Kirk (2018) (In Review) (arXiv)

3) LOPIT-DC: A simpler approach to high-resolution spatial proteomics Aikaterini Geladaki, Nina Kocevar Britovsek, Lisa M. Breckels, Tom S. Smith, Claire M. Mulvey, Oliver M. Crook, Laurent Gatto, Kathryn S. Lilley (2018) (In Review)

2) A Bayesian Mixture Modelling Approach For Spatial Proteomics Oliver M. Crook, Claire M. Mulvey , Paul D.W. Kirk , Kathryn S. Lilley , and Laurent Gatto (2018) PLoS. Computational Biology (In Press)

1) Targeted Treatment of Yaws with contact tracing: How much do we miss? Louise Dyson, Michael Marks, Oliver M. Crook, Oliver Sokana, Anthony W. Solomon, Alex Bishop, David C.W. Mabey, T. Deirdre Hollingsworth, (2017)


Research Group

Computational Biology


01223 766902