Speaker: Sivan Leviyang, Georgetown University
Title: Stochastic Models of HIV Infection

Abstract: During infection, the HIV population is both attacked and attacks immune system cells. The result is a coupled system of populations that presents many mathematical, statistical, and biological challenges. In this talk, I will first review the deterministic dynamical system models of HIV infection that have been developed over the past 20 years. As I will explain, while these models have greatly expanded our knowledge of HIV, they have some inherent limitations in terms of biological application. I will then discuss recent work involving stochastic models of HIV-immune system interaction. I will connect these stochastic models and corresponding theoretical results to some open biological questions involving HIV.

Time: Friday, Oct. 14, 2011, 1:30-2:30 p.m.

Place: Science and Tech I, Room 242

Department of Mathematical Sciences
George Mason University
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Fairfax, VA 22030-4444
http://math.gmu.edu/
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