Novel Bayesian phylogenetic methods for understanding HIV evolution within and between host

Human immunodeficiency virus (HIV) the cause of AIDS continues to affect 40 million people worldwide. To tackle the HIV pandemic, we need to develop sophisticated tools that will increase our understanding of HIV. I plan to develop new tools for understanding HIV combining phylogenetic trees and Bayesian methods. A phylogenetic tree records the ancestral relationships of viruses, like a family tree of viruses. Bayesian methods are advanced statistical techniques that achieve more accurate results over traditional methods. First, I will create better tools for making diagrams of phylogenetic trees with computer software. These diagrams will make it easier for scientists to present their findings and interpret others’ results. Second, I will develop a Bayesian method to characterize the spread of HIV while protecting individuals’ identities. This will facilitate targeted intervention to stifle HIV transmission within the community. Finally, I will compare the effectiveness of different techniques to determine the make up of the infecting virus of an individual living with HIV by looking at the characteristics of their HIV. Overall, my new methods will help complete our understanding of HIV and bring an end to the HIV pandemic.