Our Team

Corry Gellatly

 

Corry Gellatly

Corry Gellatly, Postdoc researcher, Utrecht University (per January 2014)

Position in relation to project

Postdoc researcher (per January 2014)

Short biography
Corry Gellatly is a biologist whose research is broadly in the areas of population biology, evolutionary theory and human social evolution. His PhD thesis was on the population genetics and evolution of the human sex ratio – it put forward an individual selection model for sex ratio evolution, and through analysis of genealogical data, provided empirical evidence for heritability of sex ratio in humans. Analysis of the sex ratio and sex differences in relation to ageing, mortality and parental age is a central aspect of Corry's current research, as are evolutionary theories for the evolution of the sexes. As a visiting researcher since 2011 and now an in situ postdoctoral researcher from January 2014 on, Corry has been applying his expertise with web and database technologies to the collation and analysis of historical datasets, including the reconstruction of historical populations from genealogical records. As part of the NWO nature-nurture project he is working with a number of historical data sources on life expectancy, seeking to understand the social, institutional and evolutionary context of historical and contemporary variations in life expectancy.
Involved in Research Themes

> Relation between Marriage Patterns and the emergence of institutions for collective action

Involved in projects

> NWO-VIDI project "Nature or Nurture"

Involved in debates

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Publications in relation to project

Working Paper

Gellatly, C., 2013. Reconstructing historical populations from genealogical data: an overview of methods used for aggregation, cleaning and attribution of meta-data to GEDCOM encoded genealogies. Paper to be presented at the International Workshop on Population Reconstruction, Amsterdam , 2014.

Journal article, click for link

Gellatly, C., 2009. Trends in Population Sex Ratios May be Explained by Changes in the Frequencies of Polymorphic Alleles of a Sex Ratio Gene. Evolutionary Biology, 36(2), 190–200.

Related teaching materials

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Other items

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Personal webpage (including CV and full list of publications)

> Personal webpage