Kirby Seminar - Dr Frederik Graw - "Determinig the infection dynamics of hepatitis C virus in vivo and in vitro."

Image - Kirby Seminar - Dr Frederik Graw  - "Determinig the infection dynamics of hepatitis C virus in vivo and in vitro."
Event type: 
Seminar
Event date: 
Thursday, 1 September 2016 - 1:00pm to 2:00pm
Location: 

Level 6, Seminar Room
Wallace Wurth Building
UNSW Australia
Sydney NSW 2052

Contact for inquiries: 
Rata Joseph +61 (0)2 9385 0900 rjoseph@kirby.unsw.edu.au
Booking deadline: 

The Kirby Institute is pleased to present:

Dr Frederik Graw - Independent Research Group Leader (BIOMS research fellow) at the Center for Modeling and Simulation in the Biosciences, BioQuant-Center/IWR, Heidelberg University

"Determinig the infection dynamics of hepatitis C virus in vivo and in vitro."

Abstract:
Despite novel successful treatment options, intrahepatic hepatitis C virus (HCV) infection dynamics are still poorly understood. This includes the preferred mode of viral propagation, and the rate of turnover of infected hepatocytes during chronic infection. Revealing these dynamics has important implications for the development of therapeutic interventions. In this talk, I will show how we used multi-scale mathematical models in combination with clinical and experimental data to infer details of the HCV infection dynamics, and how these results can be helpful to advise effective treatment regimes.

Bio:
Frederik Graw studied Mathematics at the Universities of Siegen and Freiburg, Germany. After obtaining his doctoral degree in Theoretical Immunology from the ETH Zurich in 2010, he did a post-doc with Alan Perelson at the Los Alamos National Laboratory. In 2012, he became a group leader at the Center for Modeling and Simulation in the Biosciences at the BioQuant-Center of Heidelberg University. In close collaboration with experimental and clinical groups, his group is working on infection and immune dynamics for different pathogens, including HIV, HCV, Malaria and Ebola, with a specific focus on viral spread and CD8+ T cell differentiation dynamics.

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