Madeleine Cule
Dr Madeleine Cule
Postdoctoral Researcher
cule at stats.ox.ac.uk
+44 (0)1865 285364 (Direct)
+44 (0)1865 272595 (Fax)
Biographical sketch
I arrived in the Statistics Department in April 2010 to join the UKCRC consortium “Modernising Medical Microbiology”. I read Mathematics as an undergraduate in Cambridge and followed this with Part III Mathematics, where I specialized in Statistics and Probability. Between these courses I spent one year as a visiting student at Harvard. I completed a PhD in Statistics in the Statistical Laboratory in Cambridge in 2009. I am passionate about science education, particularly in developing countries and have worked for the NRICH Project in Cambridge and the African Institute for Mathematical Sciences in South Africa.
Research interests
Statistical Genetics, Epidemiology, Transmission Networks, Statistical Computing.
About my research
I am part of a project which will use whole genome data to understand transmission and evolution of pathogens. I am currently working on modelling transmission and outbreaks of C. difficile within hospitals. I am also interested in algorithms for next-generation sequence data and their application to the study of bacterial evolution.
During my PhD I worked on statistical methodology, in particular nonparametric density estimation under shape constraints.
Selected publications
M. L. Cule, R. J. Samworth and M. I. Stewart. Maximum likelihood estimation of a multivariate log-concave density (with discussion). Journal of the Royal Statistical Society series B (2010)
M. L. Cule, R. B. Gramacy and R. J. Samworth. LogConcDEAD: an R package for maximum likelihood estimation of a multivariate log-concave density. Journal of Statistical Software (2009)
Group page
Research Lab
UK CRC Modernising Medical Microbiology Consortium
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