Guanyu Wang gwang@gwu.edu 202-994-6482

Computational Biophysics Network Modeling and Analysis Hypoxia Response Network Cell Cycle network 2. Computational Immunology T cell competition and Immunodominance HIV dynamics

Hypoxia Response Network Collaborated with Drs. Zeng, Simha, Peng, Turano FBA Pathway switching explains HIF sharp response FBA allows analytical solution of the network, instead of time consuming simulation

Cell Cycle Network Collaborated with Drs. Zeng, Simha Network of 11 nodes Network of 211 states Figures cited from Li. PNAS 101:4781, 2004 A parameter to quantify robustness Study how robustness is affected by degradation

T Cell Activation, Competition & Immunodominance Collaborated with Yewdell (NIH) and Zeng Different TCRs compete for antigen and APC spaces Dramatic kinetic diversity during T cell activation (different stages have different binding kinetics)

T Cell Activation, Competition & Immunodominance Collaborated with Yewdell (NIH) and Zeng koff kon Maturity structured modeling

HIV dynamics data simulation Clinical data are from Pantaleo et al., N. Eng. J. Med., 328:327, 1993.