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Andrew

Research Fellow

My research focuses on developing and applying statistical methods to gain better insights into reality. During my PhD in Biology and Statistics, I developed computational and statistical models of animal and human learning, and applied these techniques to gain a better understanding of how monkeys, birds, fishes, and human children and adults use social information to learn about the world around them. At the Roslin Insitute, I am working on improving the algorithms that underlie the genetic imputation software, AlphaImpute. Genetic imputation is an important aspect of genetic selection, since it allows for high density genotype information to be gained at individuals who are genotyped at a relatively lower density. The goal of these improvements is to increase the speed and accuracy of AlphaImpute and allow it to take full advantage of available pedigree, linkage, and sequencing information.

Employment History

2016-Present: Research Fellow – Quantitative Genetics

Roslin Institute, UK.

2016: Research Fellow in Human Statistical Genetics

Roslin Institute, UK.

Education

2013-2016: PhD in Biology and Statistics

University of St Andrews, UK.
Thesis: Computational, experimental, and statistical analyses of social learning in humans and animals.

2009-2013: Bachelors of Arts in Mathematics

University of California, Berkeley.
Thesis: Fixed points of populations of Bayesian language learners

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