Computational and Statistical Problems in Population Genetics
Nick Patterson
2007 Invited Talk
Abstract
We very briefly will introduce some key ideas of population genetics and indicate why the basic models are simple to explain but hard to use for analysis. We discuss some modern analytic tools and indicate why they are not completely satisfactory. Finally we will give a list of some problems that are interesting to me and for which even partial solutions would advance the field.
Speaker
Nick Patterson
Nick Patterson received him Ph.D in mathematics (Finite Group Theory) long, long ago and have since then worked for U.K. and U.S defense, in finance, and now works as a statistical geneticist. A common thread in his work has been the statistical analysis and modeling of large datasets. His interests include evolutionary genetics (especially primate evolution and speciation), modern human genetic history, and the implications for understanding of human biology, and of the causes of disease.
Chat is not available.
Successful Page Load