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Dr Maria De Iorio

Position Reader in Statistics
Phone (external) (0)20 3108 3245
Phone (internal) 53245
Email(*) m.deiorio
Themes Biostatistics, Computational Statistics, General Theory and Methodology

* @ucl.ac.uk

Biographical Details

Maria De Iorio is a Reader in Statistics in the Department of Statistical Science at UCL. She obtained her undergraduate degree in Economics from Bocconi University, Italy and her MSc and PhD in Statistics from Duke University, USA. She then joined the Mathematical Genetics group of the University of Oxford as a postdoctoral research assistant. In 2003 she moved to Imperial College London, working first as a lecturer and then a senior lecturer. In September 2011 she joined the statistics group at UCL.

Research Interests

Bayesian statistics and how to apply Bayesian methods to analyse data, Bayesian Nonparametrics, Biostatistics, Medical Statistics, Genomics, Metabonomics.

Selected publications

  • Beatriz Valcárcel, Peter Würtz, Nafisa-Katrin Seich al Basatena, Taru Tukiainen, Antti J. Kangas, Pasi Soininen, Marjo-Riitta Järvelin, Mika Ala-Korpela, Timothy M. Ebbels, Maria de Iorio (2011). “A differential network approach to exploring differences between biological states: an application to prediabetes.” Plos ONE, 6(9).
  • Ajay Jasra, Maria De Iorio, Marc Chadeau-Hyam (2011). The Time Machine: A Simulation Approach for Stochastic Trees. Proceeding of Royal Society A. vol. 467 no. 2132: 2350-2368.
  • A. Jara, E, Lesaffre, M. De Iorio, F.A. Quintana (2010). “Bayesian Semiparametric Inference for Multivariate Doubly-Interval-Censored Data”. Annals of Applied Statistics, 4(4):2126-2149.
  • M. De Iorio, R. C. Griffiths (2004). “Importance Sampling on Coalescent Histories. I”. Advances in Applied Probability 36(2): 417-433.
  • M. De Iorio, P. Müller, G. L. Rosner, S. N. MacEachern (2004). “An ANOVA Model for Dependent Random Measures”. Journal of the American Statistical Association 99 (465): 205-215.

Page last modified on 22 mar 12 16:00