2016.05.11 Mathematical modeling of pathogen evolution and dynamics: theory and applications to experimental systems

2019-07-07 00:31:18 0

北京大学定量生物学中心

学术报告

 

 

 

题 目: Mathematical modeling of pathogen evolution and dynamics: theory and applications to experimental systems

报告人: Dr. Igor Martin Rouzine

Microbiology and Immunology

University of California at San Francisco

时 间:2016-5-11(周三),13:00-14:00

地 点:北京大学老化学楼东配楼一层101报告厅

主持人:汤超 教授

 

报告人简介:

Dr. Igor Martin Rouzine got his PhD degree in Condensed Matter Physics in 1988.  He studied the theoretical physics of semi-conductors from 1988 to 1995. Then, he joined Coffin's lab at Tufts University, modeling viral evolution and immunology. Specifically, he worked on quantitative approaches to asexual and partly sexual (microbial) evolution (Rouzine et al, PNAS, 2003), estimated the evolutionary parameters of HIV (Rouzine and Coffin, PNAS, 1999; Batorsky et al, PNAS, 2011), and interpreted the biological reason for Plasmodium synchronization that causes fever spikes in malaria (Rouzine & McKenzie, PNAS, 2003).

In 2012, He joined Weinberger lab which belongs to Gladstone Institute of Virology and Immunology, San Francisco, CA. His recent projects have focused on multi-scale modeling of self-spreading Therapeutic Inteference Particles (Rouzine & Weinberger, J Virol, 2013) and viral evasion of the immune response by HIV and influenza virus (Batorsky et al, PLOS Comp Bio, 2014). Most significantly, he investigated the evolutionary role of HIV latency (Rouzine et al, Cell, 2015). This theoretical project approaches the mystery of HIV latency from a novel conceptual angle by merging his experience in evolution theory of pathogens with that of the Weinberger lab in virology of latency.