Virtual
Seminar
  US Mountain Time
Speaker: 
Aaron King (University of Michigan)

This event is private.

Abstract:  Phylodynamics seeks to extract information on the transmission and evolution of a pathogen from genetic sequences. Mathematically, the problem boils down to that of constructing the likelihood function that links a dynamical system model to the genetic data. The two approaches to the problem currently in common use view the pathogen genealogy as a historical record of the generating process and rely on questionable assumptions and approximations. By taking a different viewpoint, from which we view the generative model as a genealogy-valued Markov process, we show that one can derive the likelihood without the need for questionable approximations and assumptions.

Those unable to attend can follow the lecture from Twitter.

Purpose: 
Research Collaboration
SFI Host: 
Jennifer Dunne