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About Dr Peter Sozou

Dr Peter Sozou is an Assistant Professor in the Faculty of Economics at Northeastern University London.

Qualifications:
BA, University of Oxford
PhD, Birkbeck College, University of London

Email: peter.sozou@nulondon.ac.uk

Dr Peter Sozou 's Research

Peter’s interests include: theoretical biology and evolutionary biology; decision-making and behaviour, including game theory and applications to economic theory; medical decision-making; public policy; statistics, AI and inverse problems; and philosophy of science.

Selected journal papers and book chapters

  • P D Sozou, P C R Lane, M Addis and F Gobet: “Computational scientific discovery”. In: L. Magnani and T. Bertolotti (eds.). Springer Handbook of Model-Based Science, Springer, Switzerland (2017).
  • P D Sozou and G M Hartshorne: “Time to pregnancy: a computational method for using the duration of non-conception for predicting conception”. PLoS One 7, e46544 (2012).
  • P D Sozou, S Sheldon and G M Hartshorne: “Consent agreements for embryo cryopreservation: the case for choice”. Journal of Medical Ethics 36, 230-233 (2010).
  • R M Seymour and P D Sozou: “Duration of courtship effort as a costly signal.” Journal of Theoretical Biology 256, 1-13 (2009).
  • P D Sozou “Individual and social discounting in a viscous population”. Proceedings of the Royal Society of London B 276, 2955-2962 (2009).
  • P D Sozou and R M Seymour: “Costly but worthless gifts facilitate courtship”. Proceedings of the Royal Society of London B 272, 1877-1884 (2005).
  • P D Sozou and R M Seymour: “To age or not to age”. Proceedings of the Royal Society of London B 271, 457-463 (2004).
  • P D Sozou and R M Seymour: “Augmented discounting: interaction between ageing and time-preference behaviour”. Proceedings of the Royal Society of London B 270, 1047-1053 (2003).
  • P D Sozou and T B L Kirkwood: “A stochastic model of cell replicative senescence based on telomere shortening, oxidative stress, and somatic mutations in nuclear and mitochondrial DNA”. Journal of Theoretical Biology 213, 573-586 (2001).
  • P.D. Sozou: “On hyperbolic discounting and uncertain hazard rates”. Proceedings of the Royal Society of London B 265, 2015-2020 (1998).
  • P.D. Sozou, T.F. Cootes, C.J. Taylor, E.C. Di Mauro and A. Lanitis: “Non-linear point distribution modelling using a multi-layer perceptron”. Image and Vision Computing 15, 457-463 (1997).
  • P.D. Sozou: “Inversion of mirage data: an optimisation approach”. Journal of the Optical Society of America A 11, 125-134 (1994).
  • P.D. Sozou and A.I. Houston: “Parental effort in a mating system involving two males and two females”. Journal of Theoretical Biology 171, 251-266 (1994).
  • P.D. Sozou and G. Loizou: “Moving through a mirage”. Applied Optics 33, 4644-4651 (1994).
  • T. Szekely, P.D. Sozou and A.I. Houston: “Flocking behaviour of passerines: a dynamic Model for the non-reproductive season”. Behavioural Ecology and Sociobiology 28, 204-213 (1991).

Book reviews:

  • “The End of Sex and the Future of Human Reproduction” by Henry T. Greely. Bionews 864, 15 August 2016.
  • “Eros and Evolution” by R.E. Michod, “Human Sperm Competition” by R.R. Baker and M.A. Bellis,
  • “With Pleasure” by P.R. Abramson and S.D. Pinkerton, and “What’s Love got to Do with It?” by M.F. Small. Scientific American, 274(1), 102-104, January 1996.

Newspaper articles:

  • “The government’s new Trade Union bill is illogical and flawed”. Opinion column, The Independent (online only), 10 January 2016.
  • “When does a pay rise make you worse off?”. Opinion column, The Times, 26 August 2008.
  • “Our muddled thinking on 24 week abortions”. Opinion column, The Times, 1 November 2007.

Dr Peter Sozou 's Teaching

Peter leads a first year (level 4 course) on business statistics. He has previously led or co-led courses on statistics, economics for management, dynamic processes and game theory, and seminar-based courses in microeconomics. He has supervised a number of dissertations, particularly for MScs, in areas such as business analytics, statistics, economics, medical decision-making, management and operational research.