Tiffany Sandstrum
School of Systems Biology
George Mason University
MS 5B3, 10900 University Blvd.
Manassas, VA 20110
Phone (703)993-8449, Fax (703)993-8976
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Begin forwarded message:

From: "Jennifer L. Sturgis" <[log in to unmask]>
Date: September 18, 2012 3:52:13 PM EDT
To: [log in to unmask]
Subject: Krasnow Monday seminar 9/24/12
Reply-To: KRASNOW-L <[log in to unmask]>

Please join us for the next Krasnow Monday Seminar on 9/24/2012.
Refreshments will be served at 3:30pm.  Come chat with colleagues and like-minded researchers and students prior to the talk at 4pm.

Multiscale Challenge in Stochastic Simulation of Chemically Reacting Systems

Yang Cao
Department of Computer Science
Virginia Tech
Blacksburg, VA

DATE:  Monday, September 24, 2012
TIME:  4:00 p.m.
LOCATION:  Lecture Room (Room 229)
           Krasnow Institute Building
           George Mason University, Fairfax, VA

Complex systems emerging from many biochemical applications often exhibit multiscale and multiphysics (MSMP) features: The systems incorporate a variety of physical processes or subsystems across a broad range of scales. A typical MSMP system may come across scales with macroscopic, mesoscopic and microscopic kinetics, deterministic and stochastic dynamics, continuous and discrete state space, fast scale and slow-scale reactions, and species of both large and small populations. These complex features present great challenges in the modeling and simulation practice. The goal of our research is to develop innovative computational methods and rigorous fundamental theories to answer these challenges.

In this talk we will start with introduction of basic stochastic simulation algorithms for biochemical systems and multiscale features in the stochastic cell cycle model of budding yeast. With detailed analysis of these multiscale features, we will introduce recent progress on simulation algorithms and computational theories for multiscale stochastic systems, including tau-leaping methods, slow-scale SSA, and the hybrid method. At last, the connection of these algorithms to simulation methods for spatially inhomogeneous systems will be discussed.

Yang Cao’s Computational Biology Lab

For additional directions or information call 703-993-4333 or browse to .
The full semester seminar schedule is at .