Description:

 Zoom link:  https://illinois.zoom.us/j/84907159401?pwd=JboBtq30vntVuEpj8s3yYfAdwlb258.1

Speaker: Maximillian Newman (University of Chicago)

Title: How to model genetic inheritance across the genome

Abstract: Statistics in population genetics rely on understanding how a sample n genes in a population of size N >> n coalesce backwards in time to form a genetic tree called a gene genealogy, a tree-like structure that encodes the relatedness of the samples. Implicit in population genetic methods is the assumption that genes sampled far enough apart on the genome have independent genealogies. I will explain how in structured populations with large migrations and uneven offspring distributions this independence assumption fails, and what new mathematical object arise when one tries to model the distribution of these genealogies across the genome. This is based on probabilistic work, though I will assume minimal background in probability theory.

The Midwest Mathematical Biology Seminar will be a series of virtual talks on mathematical biology featuring speakers from the Midwest region and beyond. All areas of mathematical biology will be represented in the seminar series, and a goal for this seminar is to build connections and foster research collaborations.

More information - https://sites.google.com/view/midwest-mathbio-seminar/home